Index

_

__dose__ (pyanno4rt.optimization.projections._backprojection.BackProjection attribute) (pyanno4rt.optimization.projections.BackProjection attribute) __dose_cache__ (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator attribute) (pyanno4rt.learning_model.features.FeatureCalculator attribute) __dose_gradient__ (pyanno4rt.optimization.projections._backprojection.BackProjection attribute) (pyanno4rt.optimization.projections.BackProjection attribute) __feature_cache__ (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator attribute) (pyanno4rt.learning_model.features.FeatureCalculator attribute)

__fluence__ (pyanno4rt.optimization.projections._backprojection.BackProjection attribute) (pyanno4rt.optimization.projections.BackProjection attribute) __fluence_gradient__ (pyanno4rt.optimization.projections._backprojection.BackProjection attribute) (pyanno4rt.optimization.projections.BackProjection attribute) __iteration__ (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator attribute) (pyanno4rt.learning_model.features.FeatureCalculator attribute) _custom_styles module

A

activate() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) add_ct() (pyanno4rt.gui.custom_widgets._slice_widget.SliceWidget method) (pyanno4rt.gui.custom_widgets.SliceWidget method) add_dose() (pyanno4rt.gui.custom_widgets._slice_widget.SliceWidget method) (pyanno4rt.gui.custom_widgets.SliceWidget method) add_dose_matrix_path() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows._plan_creation_window.PlanCreationWindow method) (pyanno4rt.gui.windows.MainWindow method) (pyanno4rt.gui.windows.PlanCreationWindow method) add_feature_map() (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator method) (pyanno4rt.learning_model.features.FeatureCalculator method) add_imaging_path() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows._plan_creation_window.PlanCreationWindow method) (pyanno4rt.gui.windows.MainWindow method) (pyanno4rt.gui.windows.PlanCreationWindow method) add_initial_fluence_vector() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) add_lower_var_bounds() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) add_model() (pyanno4rt.optimization.components._decision_tree_ntcp.DecisionTreeNTCP method) (pyanno4rt.optimization.components._decision_tree_tcp.DecisionTreeTCP method) (pyanno4rt.optimization.components._k_nearest_neighbors_ntcp.KNeighborsNTCP method) (pyanno4rt.optimization.components._k_nearest_neighbors_tcp.KNeighborsTCP method) (pyanno4rt.optimization.components._logistic_regression_ntcp.LogisticRegressionNTCP method) (pyanno4rt.optimization.components._logistic_regression_tcp.LogisticRegressionTCP method) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass method) (pyanno4rt.optimization.components._naive_bayes_ntcp.NaiveBayesNTCP method) (pyanno4rt.optimization.components._naive_bayes_tcp.NaiveBayesTCP method) (pyanno4rt.optimization.components._neural_network_ntcp.NeuralNetworkNTCP method) (pyanno4rt.optimization.components._neural_network_tcp.NeuralNetworkTCP method) (pyanno4rt.optimization.components._random_forest_ntcp.RandomForestNTCP method) (pyanno4rt.optimization.components._random_forest_tcp.RandomForestTCP method) (pyanno4rt.optimization.components._support_vector_machine_ntcp.SupportVectorMachineNTCP method) (pyanno4rt.optimization.components._support_vector_machine_tcp.SupportVectorMachineTCP method) (pyanno4rt.optimization.components.DecisionTreeNTCP method) (pyanno4rt.optimization.components.DecisionTreeTCP method) (pyanno4rt.optimization.components.KNeighborsNTCP method) (pyanno4rt.optimization.components.KNeighborsTCP method) (pyanno4rt.optimization.components.LogisticRegressionNTCP method) (pyanno4rt.optimization.components.LogisticRegressionTCP method) (pyanno4rt.optimization.components.MachineLearningComponentClass method) (pyanno4rt.optimization.components.NaiveBayesNTCP method) (pyanno4rt.optimization.components.NaiveBayesTCP method) (pyanno4rt.optimization.components.NeuralNetworkNTCP method) (pyanno4rt.optimization.components.NeuralNetworkTCP method) (pyanno4rt.optimization.components.RandomForestNTCP method) (pyanno4rt.optimization.components.RandomForestTCP method) (pyanno4rt.optimization.components.SupportVectorMachineNTCP method) (pyanno4rt.optimization.components.SupportVectorMachineTCP method)

add_segments() (pyanno4rt.gui.custom_widgets._slice_widget.SliceWidget method) (pyanno4rt.gui.custom_widgets.SliceWidget method) add_square_brackets() (in module pyanno4rt.tools) (in module pyanno4rt.tools._add_square_brackets) add_style_and_data() (pyanno4rt.gui.custom_widgets._dvh_widget.DVHWidget method) (pyanno4rt.gui.custom_widgets.DVHWidget method) add_upper_var_bounds() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) adjust_parameters_for_fractionation() (pyanno4rt.optimization._fluence_optimizer.FluenceOptimizer static method) (pyanno4rt.optimization.FluenceOptimizer static method) adjusted_parameters (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass attribute) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components.ConventionalComponentClass attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.RadiobiologyComponentClass attribute) algorithm_object (pyanno4rt.optimization.solvers._pymoo_solver.PymooSolver attribute) (pyanno4rt.optimization.solvers.PymooSolver attribute) application (pyanno4rt.visualization._visualizer.Visualizer attribute) (pyanno4rt.visualization.Visualizer attribute) apply() (in module pyanno4rt.tools) (in module pyanno4rt.tools._apply) approve() (pyanno4rt.input_check._input_checker.InputChecker method) (pyanno4rt.input_check.InputChecker method) arange_with_endpoint() (in module pyanno4rt.tools) (in module pyanno4rt.tools._arange_with_endpoint) arguments (pyanno4rt.optimization.solvers._proxmin_solver.ProxminSolver attribute) (pyanno4rt.optimization.solvers._pyanno4rt_solver.Pyanno4rtSolver attribute) (pyanno4rt.optimization.solvers._pypop7_solver.PyPop7Solver attribute) (pyanno4rt.optimization.solvers._scipy_solver.SciPySolver attribute) (pyanno4rt.optimization.solvers.ProxminSolver attribute) (pyanno4rt.optimization.solvers.Pyanno4rtSolver attribute) (pyanno4rt.optimization.solvers.PyPop7Solver attribute) (pyanno4rt.optimization.solvers.SciPySolver attribute)

B

BackProjection (class in pyanno4rt.optimization.projections) (class in pyanno4rt.optimization.projections._backprojection) backprojection (pyanno4rt.optimization.methods._lexicographic_optimization.LexicographicOptimization attribute) (pyanno4rt.optimization.methods._pareto_optimization.ParetoOptimization attribute) (pyanno4rt.optimization.methods._weighted_sum_optimization.WeightedSumOptimization attribute) (pyanno4rt.optimization.methods.LexicographicOptimization attribute) (pyanno4rt.optimization.methods.ParetoOptimization attribute) (pyanno4rt.optimization.methods.WeightedSumOptimization attribute) binarize() (pyanno4rt.learning_model.dataset._tabular_data_generator.TabularDataGenerator method) (pyanno4rt.learning_model.dataset.TabularDataGenerator method) bounds (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass attribute) (pyanno4rt.optimization.components._decision_tree_ntcp.DecisionTreeNTCP attribute) (pyanno4rt.optimization.components._decision_tree_tcp.DecisionTreeTCP attribute) (pyanno4rt.optimization.components._k_nearest_neighbors_ntcp.KNeighborsNTCP attribute) (pyanno4rt.optimization.components._k_nearest_neighbors_tcp.KNeighborsTCP attribute) (pyanno4rt.optimization.components._logistic_regression_ntcp.LogisticRegressionNTCP attribute) (pyanno4rt.optimization.components._logistic_regression_tcp.LogisticRegressionTCP attribute) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components._naive_bayes_ntcp.NaiveBayesNTCP attribute) (pyanno4rt.optimization.components._naive_bayes_tcp.NaiveBayesTCP attribute) (pyanno4rt.optimization.components._neural_network_ntcp.NeuralNetworkNTCP attribute) (pyanno4rt.optimization.components._neural_network_tcp.NeuralNetworkTCP attribute) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components._random_forest_ntcp.RandomForestNTCP attribute) (pyanno4rt.optimization.components._random_forest_tcp.RandomForestTCP attribute) (pyanno4rt.optimization.components._support_vector_machine_ntcp.SupportVectorMachineNTCP attribute) (pyanno4rt.optimization.components._support_vector_machine_tcp.SupportVectorMachineTCP attribute) (pyanno4rt.optimization.components.ConventionalComponentClass attribute) (pyanno4rt.optimization.components.DecisionTreeNTCP attribute) (pyanno4rt.optimization.components.DecisionTreeTCP attribute) (pyanno4rt.optimization.components.KNeighborsNTCP attribute) (pyanno4rt.optimization.components.KNeighborsTCP attribute) (pyanno4rt.optimization.components.LogisticRegressionNTCP attribute) (pyanno4rt.optimization.components.LogisticRegressionTCP attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.NaiveBayesNTCP attribute) (pyanno4rt.optimization.components.NaiveBayesTCP attribute) (pyanno4rt.optimization.components.NeuralNetworkNTCP attribute) (pyanno4rt.optimization.components.NeuralNetworkTCP attribute) (pyanno4rt.optimization.components.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components.RandomForestNTCP attribute) (pyanno4rt.optimization.components.RandomForestTCP attribute) (pyanno4rt.optimization.components.SupportVectorMachineNTCP attribute) (pyanno4rt.optimization.components.SupportVectorMachineTCP attribute)

brier_loss() (in module pyanno4rt.learning_model.losses) (in module pyanno4rt.learning_model.losses._brier_loss) build() (pyanno4rt.learning_model.preprocessing._data_preprocessor.DataPreprocessor method) (pyanno4rt.learning_model.preprocessing.DataPreprocessor method) build_iocnn() (in module pyanno4rt.learning_model.frequentist.additional_files) (in module pyanno4rt.learning_model.frequentist.additional_files._neural_network_architectures) build_network() (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) build_standard_nn() (in module pyanno4rt.learning_model.frequentist.additional_files) (in module pyanno4rt.learning_model.frequentist.additional_files._neural_network_architectures)

C

callback() (pyanno4rt.optimization.solvers._proxmin_solver.ProxminSolver method) (pyanno4rt.optimization.solvers._scipy_solver.SciPySolver method) (pyanno4rt.optimization.solvers.ProxminSolver method) (pyanno4rt.optimization.solvers.SciPySolver method) category (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.CtDoseSlicingWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals._dosimetrics_table_plotter_mpl.DosimetricsTablePlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._dvh_graph_plotter_mpl.DVHGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureSelectWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals._iter_graph_plotter_mpl.IterGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._metrics_graphs_plotter_mpl.MetricsGraphsPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._metrics_tables_plotter_mpl.MetricsTablesPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._ntcp_graph_plotter_mpl.NTCPGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._permutation_importance_plotter_mpl.PermutationImportancePlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.CtDoseSlicingWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals.DosimetricsTablePlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.DVHGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.FeatureSelectWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals.IterGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.MetricsGraphsPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.MetricsTablesPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.NTCPGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.PermutationImportancePlotterMPL attribute), [1] cbox (in module _custom_styles) center (pyanno4rt.learning_model.preprocessing.transformers._standard_scaler.StandardScaler attribute) (pyanno4rt.learning_model.preprocessing.transformers.StandardScaler attribute) change_dose_opacity() (pyanno4rt.gui.custom_widgets._slice_widget.SliceWidget method) (pyanno4rt.gui.custom_widgets.SliceWidget method) change_image_slice() (pyanno4rt.gui.custom_widgets._slice_widget.SliceWidget method) (pyanno4rt.gui.custom_widgets.SliceWidget method) check_components() (in module pyanno4rt.input_check.check_functions) (in module pyanno4rt.input_check.check_functions._check_components) check_dose_matrix() (in module pyanno4rt.input_check.check_functions) (in module pyanno4rt.input_check.check_functions._check_dose_matrix) check_feature_filter() (in module pyanno4rt.input_check.check_functions) (in module pyanno4rt.input_check.check_functions._check_feature_filter) check_key_in_dict() (in module pyanno4rt.input_check.check_functions) (in module pyanno4rt.input_check.check_functions._check_key_in_dict) check_length() (in module pyanno4rt.input_check.check_functions) (in module pyanno4rt.input_check.check_functions._check_length) check_map (pyanno4rt.input_check._input_checker.InputChecker attribute) (pyanno4rt.input_check.InputChecker attribute) check_path() (in module pyanno4rt.input_check.check_functions) (in module pyanno4rt.input_check.check_functions._check_path) check_regular_extension() (in module pyanno4rt.input_check.check_functions) (in module pyanno4rt.input_check.check_functions._check_regular_extension) check_regular_extension_directory() (in module pyanno4rt.input_check.check_functions) (in module pyanno4rt.input_check.check_functions._check_regular_extension_directory) check_subtype() (in module pyanno4rt.input_check.check_functions) (in module pyanno4rt.input_check.check_functions._check_subtype) check_type() (in module pyanno4rt.input_check.check_functions) (in module pyanno4rt.input_check.check_functions._check_type) check_value() (in module pyanno4rt.input_check.check_functions) (in module pyanno4rt.input_check.check_functions._check_value) check_value_in_set() (in module pyanno4rt.input_check.check_functions) (in module pyanno4rt.input_check.check_functions._check_value_in_set) clear_configuration() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) clear_evaluation() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) clear_optimization() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) close() (pyanno4rt.gui.windows._info_window.InfoWindow method) (pyanno4rt.gui.windows._log_window.LogWindow method) (pyanno4rt.gui.windows._plan_creation_window.PlanCreationWindow method) (pyanno4rt.gui.windows._text_window.TextWindow method) (pyanno4rt.gui.windows._tree_window.TreeWindow method) (pyanno4rt.gui.windows.InfoWindow method) (pyanno4rt.gui.windows.LogWindow method) (pyanno4rt.gui.windows.PlanCreationWindow method) (pyanno4rt.gui.windows.TextWindow method) (pyanno4rt.gui.windows.TreeWindow method) closeEvent() (pyanno4rt.gui._gui.GraphicalUserInterface method) (pyanno4rt.gui.GraphicalUserInterface method) (pyanno4rt.visualization._visualizer.MainWindow method) collapse_all() (pyanno4rt.gui.windows._tree_window.TreeWindow method) (pyanno4rt.gui.windows.TreeWindow method) combo_box_feature (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget attribute) combo_box_model (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget attribute) ComboBoxFeature (class in pyanno4rt.visualization.visuals._feature_select_window_pyqt) ComboBoxModel (class in pyanno4rt.visualization.visuals._feature_select_window_pyqt) compile_and_fit() (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) component_map (in module pyanno4rt.input_check.check_maps) (in module pyanno4rt.input_check.check_maps._component_map) (in module pyanno4rt.optimization.components) (in module pyanno4rt.optimization.components._component_map) compose() (pyanno4rt.base._treatment_plan.TreatmentPlan method) (pyanno4rt.base.TreatmentPlan method) compute() (in module pyanno4rt.optimization.components._dose_uniformity) (in module pyanno4rt.optimization.components._equivalent_uniform_dose) (in module pyanno4rt.optimization.components._lq_poisson_tcp) (in module pyanno4rt.optimization.components._lyman_kutcher_burman_ntcp) (in module pyanno4rt.optimization.components._maximum_dvh) (in module pyanno4rt.optimization.components._mean_dose) (in module pyanno4rt.optimization.components._minimum_dvh) (in module pyanno4rt.optimization.components._squared_deviation) (in module pyanno4rt.optimization.components._squared_overdosing) (in module pyanno4rt.optimization.components._squared_underdosing) (pyanno4rt.learning_model.evaluation._model_evaluator.ModelEvaluator method) (pyanno4rt.learning_model.evaluation.metrics._f1_score.F1Score method) (pyanno4rt.learning_model.evaluation.metrics._model_kpi.ModelKPI method) (pyanno4rt.learning_model.evaluation.metrics._pr_score.PRScore method) (pyanno4rt.learning_model.evaluation.metrics._roc_score.ROCScore method) (pyanno4rt.learning_model.evaluation.metrics.F1Score method) (pyanno4rt.learning_model.evaluation.metrics.ModelKPI method) (pyanno4rt.learning_model.evaluation.metrics.PRScore method) (pyanno4rt.learning_model.evaluation.metrics.ROCScore method) (pyanno4rt.learning_model.evaluation.ModelEvaluator method) (pyanno4rt.learning_model.features.catalogue._dose_deviation.DoseDeviation static method) (pyanno4rt.learning_model.features.catalogue._dose_dx.DoseDx static method) (pyanno4rt.learning_model.features.catalogue._dose_energy.DoseEnergy static method) (pyanno4rt.learning_model.features.catalogue._dose_entropy.DoseEntropy static method) (pyanno4rt.learning_model.features.catalogue._dose_gradient.DoseGradient static method) (pyanno4rt.learning_model.features.catalogue._dose_kurtosis.DoseKurtosis static method) (pyanno4rt.learning_model.features.catalogue._dose_maximum.DoseMaximum static method) (pyanno4rt.learning_model.features.catalogue._dose_mean.DoseMean static method) (pyanno4rt.learning_model.features.catalogue._dose_minimum.DoseMinimum static method) (pyanno4rt.learning_model.features.catalogue._dose_moment.DoseMoment static method) (pyanno4rt.learning_model.features.catalogue._dose_nvoxels.DoseNVoxels static method) (pyanno4rt.learning_model.features.catalogue._dose_skewness.DoseSkewness static method) (pyanno4rt.learning_model.features.catalogue._dose_subvolume.DoseSubvolume static method) (pyanno4rt.learning_model.features.catalogue._dose_vx.DoseVx static method) (pyanno4rt.learning_model.features.catalogue._feature_class.DemographicFeature method) (pyanno4rt.learning_model.features.catalogue._feature_class.DosiomicFeature method) (pyanno4rt.learning_model.features.catalogue._feature_class.RadiomicFeature method) (pyanno4rt.learning_model.features.catalogue._patient_age.PatientAge static method) (pyanno4rt.learning_model.features.catalogue._patient_daysafterrt.PatientDaysafterrt static method) (pyanno4rt.learning_model.features.catalogue._patient_sex.PatientSex static method) (pyanno4rt.learning_model.features.catalogue._segment_area.SegmentArea static method) (pyanno4rt.learning_model.features.catalogue._segment_compactness.SegmentCompactness static method) (pyanno4rt.learning_model.features.catalogue._segment_density.SegmentDensity static method) (pyanno4rt.learning_model.features.catalogue._segment_eccentricity.SegmentEccentricity static method) (pyanno4rt.learning_model.features.catalogue._segment_eigenmax.SegmentEigenmax static method) (pyanno4rt.learning_model.features.catalogue._segment_eigenmid.SegmentEigenmid static method) (pyanno4rt.learning_model.features.catalogue._segment_eigenmin.SegmentEigenmin static method) (pyanno4rt.learning_model.features.catalogue._segment_eigenvalues.SegmentEigenvalues static method) (pyanno4rt.learning_model.features.catalogue._segment_sphericity.SegmentSphericity static method) (pyanno4rt.learning_model.features.catalogue._segment_volume.SegmentVolume static method) (pyanno4rt.learning_model.features.catalogue.DemographicFeature method) (pyanno4rt.learning_model.features.catalogue.DoseDeviation static method) (pyanno4rt.learning_model.features.catalogue.DoseDx static method) (pyanno4rt.learning_model.features.catalogue.DoseEnergy static method) (pyanno4rt.learning_model.features.catalogue.DoseEntropy static method) (pyanno4rt.learning_model.features.catalogue.DoseGradient static method) (pyanno4rt.learning_model.features.catalogue.DoseKurtosis static method) (pyanno4rt.learning_model.features.catalogue.DoseMaximum static method) (pyanno4rt.learning_model.features.catalogue.DoseMean static method) (pyanno4rt.learning_model.features.catalogue.DoseMinimum static method) (pyanno4rt.learning_model.features.catalogue.DoseMoment static method) (pyanno4rt.learning_model.features.catalogue.DoseNVoxels static method) (pyanno4rt.learning_model.features.catalogue.DoseSkewness static method) (pyanno4rt.learning_model.features.catalogue.DoseSubvolume static method) (pyanno4rt.learning_model.features.catalogue.DoseVx static method) (pyanno4rt.learning_model.features.catalogue.DosiomicFeature method) (pyanno4rt.learning_model.features.catalogue.PatientAge static method) (pyanno4rt.learning_model.features.catalogue.PatientDaysafterrt static method) (pyanno4rt.learning_model.features.catalogue.PatientSex static method) (pyanno4rt.learning_model.features.catalogue.RadiomicFeature method) (pyanno4rt.learning_model.features.catalogue.SegmentArea static method) (pyanno4rt.learning_model.features.catalogue.SegmentDensity static method) (pyanno4rt.learning_model.features.catalogue.SegmentEccentricity static method) (pyanno4rt.learning_model.features.catalogue.SegmentEigenmax static method) (pyanno4rt.learning_model.features.catalogue.SegmentEigenmid static method) (pyanno4rt.learning_model.features.catalogue.SegmentEigenmin static method) (pyanno4rt.learning_model.features.catalogue.SegmentEigenvalues static method) (pyanno4rt.learning_model.features.catalogue.SegmentSphericity static method) (pyanno4rt.learning_model.features.catalogue.SegmentVolume static method) (pyanno4rt.learning_model.inspection._model_inspector.ModelInspector method) (pyanno4rt.learning_model.inspection.inspections._permutation_importance.PermutationImportance method) (pyanno4rt.learning_model.inspection.inspections.PermutationImportance method) (pyanno4rt.learning_model.inspection.ModelInspector method) compute_dose() (pyanno4rt.optimization.projections._backprojection.BackProjection method) (pyanno4rt.optimization.projections.BackProjection method) compute_dose_3d() (pyanno4rt.optimization._fluence_optimizer.FluenceOptimizer method) (pyanno4rt.optimization.FluenceOptimizer method) compute_dose_result() (pyanno4rt.optimization.projections._backprojection.BackProjection method) (pyanno4rt.optimization.projections._constant_rbe_projection.ConstantRBEProjection method) (pyanno4rt.optimization.projections._dose_projection.DoseProjection method) (pyanno4rt.optimization.projections.BackProjection method) (pyanno4rt.optimization.projections.ConstantRBEProjection method) (pyanno4rt.optimization.projections.DoseProjection method) compute_fluence_gradient() (pyanno4rt.optimization.projections._backprojection.BackProjection method) (pyanno4rt.optimization.projections.BackProjection method) compute_fluence_gradient_result() (pyanno4rt.optimization.projections._backprojection.BackProjection method) (pyanno4rt.optimization.projections._constant_rbe_projection.ConstantRBEProjection method) (pyanno4rt.optimization.projections._dose_projection.DoseProjection method) (pyanno4rt.optimization.projections.BackProjection method) (pyanno4rt.optimization.projections.ConstantRBEProjection method) (pyanno4rt.optimization.projections.DoseProjection method) compute_gradient() (pyanno4rt.learning_model.preprocessing.transformers._equalizer.Equalizer method) (pyanno4rt.learning_model.preprocessing.transformers._standard_scaler.StandardScaler method) (pyanno4rt.learning_model.preprocessing.transformers._whitening.Whitening method) (pyanno4rt.learning_model.preprocessing.transformers.Equalizer method) (pyanno4rt.learning_model.preprocessing.transformers.StandardScaler method) (pyanno4rt.learning_model.preprocessing.transformers.Whitening method) (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass method) (pyanno4rt.optimization.components._decision_tree_ntcp.DecisionTreeNTCP method) (pyanno4rt.optimization.components._decision_tree_tcp.DecisionTreeTCP method) (pyanno4rt.optimization.components._dose_uniformity.DoseUniformity method) (pyanno4rt.optimization.components._equivalent_uniform_dose.EquivalentUniformDose method) (pyanno4rt.optimization.components._k_nearest_neighbors_ntcp.KNeighborsNTCP method) (pyanno4rt.optimization.components._k_nearest_neighbors_tcp.KNeighborsTCP method) (pyanno4rt.optimization.components._logistic_regression_ntcp.LogisticRegressionNTCP method) (pyanno4rt.optimization.components._logistic_regression_tcp.LogisticRegressionTCP method) (pyanno4rt.optimization.components._lq_poisson_tcp.LQPoissonTCP method) (pyanno4rt.optimization.components._lyman_kutcher_burman_ntcp.LymanKutcherBurmanNTCP method) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass method) (pyanno4rt.optimization.components._maximum_dvh.MaximumDVH method) (pyanno4rt.optimization.components._mean_dose.MeanDose method) (pyanno4rt.optimization.components._minimum_dvh.MinimumDVH method) (pyanno4rt.optimization.components._naive_bayes_ntcp.NaiveBayesNTCP method) (pyanno4rt.optimization.components._naive_bayes_tcp.NaiveBayesTCP method) (pyanno4rt.optimization.components._neural_network_ntcp.NeuralNetworkNTCP method) (pyanno4rt.optimization.components._neural_network_tcp.NeuralNetworkTCP method) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass method) (pyanno4rt.optimization.components._random_forest_ntcp.RandomForestNTCP method) (pyanno4rt.optimization.components._random_forest_tcp.RandomForestTCP method) (pyanno4rt.optimization.components._squared_deviation.SquaredDeviation method) (pyanno4rt.optimization.components._squared_overdosing.SquaredOverdosing method) (pyanno4rt.optimization.components._squared_underdosing.SquaredUnderdosing method) (pyanno4rt.optimization.components._support_vector_machine_ntcp.SupportVectorMachineNTCP method) (pyanno4rt.optimization.components._support_vector_machine_tcp.SupportVectorMachineTCP method) (pyanno4rt.optimization.components.ConventionalComponentClass method) (pyanno4rt.optimization.components.DecisionTreeNTCP method) (pyanno4rt.optimization.components.DecisionTreeTCP method) (pyanno4rt.optimization.components.DoseUniformity method) (pyanno4rt.optimization.components.EquivalentUniformDose method) (pyanno4rt.optimization.components.KNeighborsNTCP method) (pyanno4rt.optimization.components.KNeighborsTCP method) (pyanno4rt.optimization.components.LogisticRegressionNTCP method) (pyanno4rt.optimization.components.LogisticRegressionTCP method) (pyanno4rt.optimization.components.LQPoissonTCP method) (pyanno4rt.optimization.components.LymanKutcherBurmanNTCP method) (pyanno4rt.optimization.components.MachineLearningComponentClass method) (pyanno4rt.optimization.components.MaximumDVH method) (pyanno4rt.optimization.components.MeanDose method) (pyanno4rt.optimization.components.MinimumDVH method) (pyanno4rt.optimization.components.NaiveBayesNTCP method) (pyanno4rt.optimization.components.NaiveBayesTCP method) (pyanno4rt.optimization.components.NeuralNetworkNTCP method) (pyanno4rt.optimization.components.NeuralNetworkTCP method) (pyanno4rt.optimization.components.RadiobiologyComponentClass method) (pyanno4rt.optimization.components.RandomForestNTCP method) (pyanno4rt.optimization.components.RandomForestTCP method) (pyanno4rt.optimization.components.SquaredDeviation method) (pyanno4rt.optimization.components.SquaredOverdosing method) (pyanno4rt.optimization.components.SquaredUnderdosing method) (pyanno4rt.optimization.components.SupportVectorMachineNTCP method) (pyanno4rt.optimization.components.SupportVectorMachineTCP method)

compute_oof() (pyanno4rt.learning_model.inspection.inspections._permutation_importance.PermutationImportance method) (pyanno4rt.learning_model.inspection.inspections.PermutationImportance method) compute_value() (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass method) (pyanno4rt.optimization.components._decision_tree_ntcp.DecisionTreeNTCP method) (pyanno4rt.optimization.components._decision_tree_tcp.DecisionTreeTCP method) (pyanno4rt.optimization.components._dose_uniformity.DoseUniformity method) (pyanno4rt.optimization.components._equivalent_uniform_dose.EquivalentUniformDose method) (pyanno4rt.optimization.components._k_nearest_neighbors_ntcp.KNeighborsNTCP method) (pyanno4rt.optimization.components._k_nearest_neighbors_tcp.KNeighborsTCP method) (pyanno4rt.optimization.components._logistic_regression_ntcp.LogisticRegressionNTCP method) (pyanno4rt.optimization.components._logistic_regression_tcp.LogisticRegressionTCP method) (pyanno4rt.optimization.components._lq_poisson_tcp.LQPoissonTCP method) (pyanno4rt.optimization.components._lyman_kutcher_burman_ntcp.LymanKutcherBurmanNTCP method) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass method) (pyanno4rt.optimization.components._maximum_dvh.MaximumDVH method) (pyanno4rt.optimization.components._mean_dose.MeanDose method) (pyanno4rt.optimization.components._minimum_dvh.MinimumDVH method) (pyanno4rt.optimization.components._naive_bayes_ntcp.NaiveBayesNTCP method) (pyanno4rt.optimization.components._naive_bayes_tcp.NaiveBayesTCP method) (pyanno4rt.optimization.components._neural_network_ntcp.NeuralNetworkNTCP method) (pyanno4rt.optimization.components._neural_network_tcp.NeuralNetworkTCP method) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass method) (pyanno4rt.optimization.components._random_forest_ntcp.RandomForestNTCP method) (pyanno4rt.optimization.components._random_forest_tcp.RandomForestTCP method) (pyanno4rt.optimization.components._squared_deviation.SquaredDeviation method) (pyanno4rt.optimization.components._squared_overdosing.SquaredOverdosing method) (pyanno4rt.optimization.components._squared_underdosing.SquaredUnderdosing method) (pyanno4rt.optimization.components._support_vector_machine_ntcp.SupportVectorMachineNTCP method) (pyanno4rt.optimization.components._support_vector_machine_tcp.SupportVectorMachineTCP method) (pyanno4rt.optimization.components.ConventionalComponentClass method) (pyanno4rt.optimization.components.DecisionTreeNTCP method) (pyanno4rt.optimization.components.DecisionTreeTCP method) (pyanno4rt.optimization.components.DoseUniformity method) (pyanno4rt.optimization.components.EquivalentUniformDose method) (pyanno4rt.optimization.components.KNeighborsNTCP method) (pyanno4rt.optimization.components.KNeighborsTCP method) (pyanno4rt.optimization.components.LogisticRegressionNTCP method) (pyanno4rt.optimization.components.LogisticRegressionTCP method) (pyanno4rt.optimization.components.LQPoissonTCP method) (pyanno4rt.optimization.components.LymanKutcherBurmanNTCP method) (pyanno4rt.optimization.components.MachineLearningComponentClass method) (pyanno4rt.optimization.components.MaximumDVH method) (pyanno4rt.optimization.components.MeanDose method) (pyanno4rt.optimization.components.MinimumDVH method) (pyanno4rt.optimization.components.NaiveBayesNTCP method) (pyanno4rt.optimization.components.NaiveBayesTCP method) (pyanno4rt.optimization.components.NeuralNetworkNTCP method) (pyanno4rt.optimization.components.NeuralNetworkTCP method) (pyanno4rt.optimization.components.RadiobiologyComponentClass method) (pyanno4rt.optimization.components.RandomForestNTCP method) (pyanno4rt.optimization.components.RandomForestTCP method) (pyanno4rt.optimization.components.SquaredDeviation method) (pyanno4rt.optimization.components.SquaredOverdosing method) (pyanno4rt.optimization.components.SquaredUnderdosing method) (pyanno4rt.optimization.components.SupportVectorMachineNTCP method) (pyanno4rt.optimization.components.SupportVectorMachineTCP method) computed_tomography (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] configuration (pyanno4rt.base._treatment_plan.TreatmentPlan attribute) (pyanno4rt.base.TreatmentPlan attribute) (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.frequentist.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel attribute) configuration_map (in module pyanno4rt.input_check.check_maps) (in module pyanno4rt.input_check.check_maps._configuration_map) configuration_path (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.frequentist.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel attribute) configure() (pyanno4rt.base._treatment_plan.TreatmentPlan method) (pyanno4rt.base.TreatmentPlan method) (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) configure_proxmin() (in module pyanno4rt.optimization.solvers.configurations) (in module pyanno4rt.optimization.solvers.configurations._configure_proxmin) configure_pyanno4rt() (in module pyanno4rt.optimization.solvers.configurations) (in module pyanno4rt.optimization.solvers.configurations._configure_pyanno4rt) configure_pymoo() (in module pyanno4rt.optimization.solvers.configurations) (in module pyanno4rt.optimization.solvers.configurations._configure_pymoo) configure_pypop7() (in module pyanno4rt.optimization.solvers.configurations) (in module pyanno4rt.optimization.solvers.configurations._configure_pypop7) configure_scipy() (in module pyanno4rt.optimization.solvers.configurations) (in module pyanno4rt.optimization.solvers.configurations._configure_scipy) connect_signals() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) ConstantRBEProjection (class in pyanno4rt.optimization.projections) (class in pyanno4rt.optimization.projections._constant_rbe_projection) constraint() (pyanno4rt.optimization.methods._lexicographic_optimization.LexicographicOptimization method) (pyanno4rt.optimization.methods._pareto_optimization.ParetoOptimization method) (pyanno4rt.optimization.methods._weighted_sum_optimization.WeightedSumOptimization method) (pyanno4rt.optimization.methods.LexicographicOptimization method) (pyanno4rt.optimization.methods.ParetoOptimization method) (pyanno4rt.optimization.methods.WeightedSumOptimization method) constraint_names (pyanno4rt.optimization.solvers._pymoo_solver.CustomCallback attribute) constraints (pyanno4rt.optimization.methods._lexicographic_optimization.LexicographicOptimization attribute) (pyanno4rt.optimization.methods._pareto_optimization.ParetoOptimization attribute) (pyanno4rt.optimization.methods._weighted_sum_optimization.WeightedSumOptimization attribute) (pyanno4rt.optimization.methods.LexicographicOptimization attribute) (pyanno4rt.optimization.methods.ParetoOptimization attribute) (pyanno4rt.optimization.methods.WeightedSumOptimization attribute) ConventionalComponentClass (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._conventional_component_class) copycat() (in module pyanno4rt.tools) (in module pyanno4rt.tools._copycat) counter (pyanno4rt.optimization.solvers._scipy_solver.SciPySolver attribute) (pyanno4rt.optimization.solvers.SciPySolver attribute) create() (pyanno4rt.gui.windows._plan_creation_window.PlanCreationWindow method) (pyanno4rt.gui.windows.PlanCreationWindow method) create_tree_from_dict() (pyanno4rt.gui.windows._tree_window.TreeWindow method) (pyanno4rt.gui.windows.TreeWindow method) crosshair_update (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget attribute) ct_cube (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget attribute) ct_image (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget attribute) CtDoseSlicingWindowPyQt (class in pyanno4rt.visualization.visuals) (class in pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt) current_position (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget attribute) custom_round() (in module pyanno4rt.tools) (in module pyanno4rt.tools._custom_round) CustomCallback (class in pyanno4rt.optimization.solvers._pymoo_solver)

D

DATA_DEPENDENT (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureSelectWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals._metrics_graphs_plotter_mpl.MetricsGraphsPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._metrics_tables_plotter_mpl.MetricsTablesPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._ntcp_graph_plotter_mpl.NTCPGraphPlotterMPL attribute) (pyanno4rt.visualization.visuals._permutation_importance_plotter_mpl.PermutationImportancePlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.FeatureSelectWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals.MetricsGraphsPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.MetricsTablesPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.NTCPGraphPlotterMPL attribute) (pyanno4rt.visualization.visuals.PermutationImportancePlotterMPL attribute), [1] data_model_handler (pyanno4rt.optimization.components._decision_tree_ntcp.DecisionTreeNTCP attribute) (pyanno4rt.optimization.components._decision_tree_tcp.DecisionTreeTCP attribute) (pyanno4rt.optimization.components._k_nearest_neighbors_ntcp.KNeighborsNTCP attribute) (pyanno4rt.optimization.components._k_nearest_neighbors_tcp.KNeighborsTCP attribute) (pyanno4rt.optimization.components._logistic_regression_ntcp.LogisticRegressionNTCP attribute) (pyanno4rt.optimization.components._logistic_regression_tcp.LogisticRegressionTCP attribute) (pyanno4rt.optimization.components._naive_bayes_ntcp.NaiveBayesNTCP attribute) (pyanno4rt.optimization.components._naive_bayes_tcp.NaiveBayesTCP attribute) (pyanno4rt.optimization.components._neural_network_ntcp.NeuralNetworkNTCP attribute) (pyanno4rt.optimization.components._neural_network_tcp.NeuralNetworkTCP attribute) (pyanno4rt.optimization.components._random_forest_ntcp.RandomForestNTCP attribute) (pyanno4rt.optimization.components._random_forest_tcp.RandomForestTCP attribute) (pyanno4rt.optimization.components._support_vector_machine_ntcp.SupportVectorMachineNTCP attribute) (pyanno4rt.optimization.components._support_vector_machine_tcp.SupportVectorMachineTCP attribute) (pyanno4rt.optimization.components.DecisionTreeNTCP attribute) (pyanno4rt.optimization.components.DecisionTreeTCP attribute) (pyanno4rt.optimization.components.KNeighborsNTCP attribute) (pyanno4rt.optimization.components.KNeighborsTCP attribute) (pyanno4rt.optimization.components.LogisticRegressionNTCP attribute) (pyanno4rt.optimization.components.LogisticRegressionTCP attribute) (pyanno4rt.optimization.components.NaiveBayesNTCP attribute) (pyanno4rt.optimization.components.NaiveBayesTCP attribute) (pyanno4rt.optimization.components.NeuralNetworkNTCP attribute) (pyanno4rt.optimization.components.NeuralNetworkTCP attribute) (pyanno4rt.optimization.components.RandomForestNTCP attribute) (pyanno4rt.optimization.components.RandomForestTCP attribute) (pyanno4rt.optimization.components.SupportVectorMachineNTCP attribute) (pyanno4rt.optimization.components.SupportVectorMachineTCP attribute) data_path (pyanno4rt.learning_model._data_model_handler.DataModelHandler attribute) (pyanno4rt.learning_model.DataModelHandler attribute) Datahub (class in pyanno4rt.datahub) (class in pyanno4rt.datahub._datahub) datahub (pyanno4rt.base._treatment_plan.TreatmentPlan attribute) (pyanno4rt.base.TreatmentPlan attribute) DataModelHandler (class in pyanno4rt.learning_model) (class in pyanno4rt.learning_model._data_model_handler) DataPreprocessor (class in pyanno4rt.learning_model.preprocessing) (class in pyanno4rt.learning_model.preprocessing._data_preprocessor) dataset (pyanno4rt.learning_model._data_model_handler.DataModelHandler attribute) (pyanno4rt.learning_model.DataModelHandler attribute) datasets (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] decision_function (pyanno4rt.optimization.components._support_vector_machine_ntcp.SupportVectorMachineNTCP attribute) (pyanno4rt.optimization.components._support_vector_machine_tcp.SupportVectorMachineTCP attribute) (pyanno4rt.optimization.components.SupportVectorMachineNTCP attribute) (pyanno4rt.optimization.components.SupportVectorMachineTCP attribute) decision_gradient (pyanno4rt.optimization.components._support_vector_machine_ntcp.SupportVectorMachineNTCP attribute) (pyanno4rt.optimization.components._support_vector_machine_tcp.SupportVectorMachineTCP attribute) (pyanno4rt.optimization.components.SupportVectorMachineNTCP attribute) (pyanno4rt.optimization.components.SupportVectorMachineTCP attribute) DecisionTreeModel (class in pyanno4rt.learning_model.frequentist) (class in pyanno4rt.learning_model.frequentist._decision_tree) DecisionTreeNTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._decision_tree_ntcp) DecisionTreeTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._decision_tree_tcp) decompose() (pyanno4rt.learning_model.dataset._tabular_data_generator.TabularDataGenerator method) (pyanno4rt.learning_model.dataset.TabularDataGenerator method) deduplicate() (in module pyanno4rt.tools) (in module pyanno4rt.tools._deduplicate) DemographicFeature (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._feature_class) demographics (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator attribute) (pyanno4rt.learning_model.features.FeatureCalculator attribute) DEPENDS_ON_MODEL (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass attribute) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components.ConventionalComponentClass attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.RadiobiologyComponentClass attribute) deviations (pyanno4rt.learning_model.preprocessing.transformers._standard_scaler.StandardScaler attribute) (pyanno4rt.learning_model.preprocessing.transformers.StandardScaler attribute) differentiate() (in module pyanno4rt.optimization.components._dose_uniformity) (in module pyanno4rt.optimization.components._equivalent_uniform_dose) (in module pyanno4rt.optimization.components._lq_poisson_tcp) (in module pyanno4rt.optimization.components._lyman_kutcher_burman_ntcp) (in module pyanno4rt.optimization.components._maximum_dvh) (in module pyanno4rt.optimization.components._mean_dose) (in module pyanno4rt.optimization.components._minimum_dvh) (in module pyanno4rt.optimization.components._squared_deviation) (in module pyanno4rt.optimization.components._squared_overdosing) (in module pyanno4rt.optimization.components._squared_underdosing) (pyanno4rt.learning_model.features.catalogue._dose_deviation.DoseDeviation static method) (pyanno4rt.learning_model.features.catalogue._dose_dx.DoseDx static method) (pyanno4rt.learning_model.features.catalogue._dose_energy.DoseEnergy static method) (pyanno4rt.learning_model.features.catalogue._dose_entropy.DoseEntropy static method) (pyanno4rt.learning_model.features.catalogue._dose_gradient.DoseGradient static method) (pyanno4rt.learning_model.features.catalogue._dose_kurtosis.DoseKurtosis static method) (pyanno4rt.learning_model.features.catalogue._dose_maximum.DoseMaximum static method) (pyanno4rt.learning_model.features.catalogue._dose_mean.DoseMean static method) (pyanno4rt.learning_model.features.catalogue._dose_minimum.DoseMinimum static method) (pyanno4rt.learning_model.features.catalogue._dose_moment.DoseMoment static method) (pyanno4rt.learning_model.features.catalogue._dose_nvoxels.DoseNVoxels static method) (pyanno4rt.learning_model.features.catalogue._dose_skewness.DoseSkewness static method) (pyanno4rt.learning_model.features.catalogue._dose_subvolume.DoseSubvolume static method) (pyanno4rt.learning_model.features.catalogue._dose_vx.DoseVx static method) (pyanno4rt.learning_model.features.catalogue._feature_class.DosiomicFeature method) (pyanno4rt.learning_model.features.catalogue.DoseDeviation static method) (pyanno4rt.learning_model.features.catalogue.DoseDx static method) (pyanno4rt.learning_model.features.catalogue.DoseEnergy static method) (pyanno4rt.learning_model.features.catalogue.DoseEntropy static method) (pyanno4rt.learning_model.features.catalogue.DoseGradient static method) (pyanno4rt.learning_model.features.catalogue.DoseKurtosis static method) (pyanno4rt.learning_model.features.catalogue.DoseMaximum static method) (pyanno4rt.learning_model.features.catalogue.DoseMean static method) (pyanno4rt.learning_model.features.catalogue.DoseMinimum static method) (pyanno4rt.learning_model.features.catalogue.DoseMoment static method) (pyanno4rt.learning_model.features.catalogue.DoseNVoxels static method) (pyanno4rt.learning_model.features.catalogue.DoseSkewness static method) (pyanno4rt.learning_model.features.catalogue.DoseSubvolume static method) (pyanno4rt.learning_model.features.catalogue.DoseVx static method) (pyanno4rt.learning_model.features.catalogue.DosiomicFeature method)

display (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass attribute) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components.ConventionalComponentClass attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.RadiobiologyComponentClass attribute) display_critical() (pyanno4rt.logging._logger.Logger method) (pyanno4rt.logging.Logger method) display_debug() (pyanno4rt.logging._logger.Logger method) (pyanno4rt.logging.Logger method) display_error() (pyanno4rt.logging._logger.Logger method) (pyanno4rt.logging.Logger method) display_info() (pyanno4rt.logging._logger.Logger method) (pyanno4rt.logging.Logger method) display_metrics (pyanno4rt.evaluation._dosimetrics_evaluator.DosimetricsEvaluator attribute) (pyanno4rt.evaluation.DosimetricsEvaluator attribute) display_segments (pyanno4rt.evaluation._dosimetrics_evaluator.DosimetricsEvaluator attribute) (pyanno4rt.evaluation._dvh_evaluator.DVHEvaluator attribute) (pyanno4rt.evaluation.DosimetricsEvaluator attribute) (pyanno4rt.evaluation.DVHEvaluator attribute) display_to_console() (pyanno4rt.logging._logger.Logger method) (pyanno4rt.logging.Logger method) display_warning() (pyanno4rt.logging._logger.Logger method) (pyanno4rt.logging.Logger method) dose_contours (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget attribute) dose_cube (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.ScrollBar attribute) (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget attribute) dose_cube_with_nan (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget attribute) dose_histogram (pyanno4rt.base._treatment_plan.TreatmentPlan attribute) (pyanno4rt.base.TreatmentPlan attribute) (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] dose_image (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget attribute) dose_info_generator (pyanno4rt.base._treatment_plan.TreatmentPlan attribute) (pyanno4rt.base.TreatmentPlan attribute) dose_information (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] dose_matrix_path (pyanno4rt.dose_info._dose_info_generator.DoseInfoGenerator attribute) (pyanno4rt.dose_info.DoseInfoGenerator attribute) dose_resolution (pyanno4rt.dose_info._dose_info_generator.DoseInfoGenerator attribute) (pyanno4rt.dose_info.DoseInfoGenerator attribute) DoseDeviation (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_deviation) DoseDx (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_dx) DoseEnergy (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_energy) DoseEntropy (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_entropy) DoseGradient (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_gradient) DoseInfoGenerator (class in pyanno4rt.dose_info) (class in pyanno4rt.dose_info._dose_info_generator) DoseKurtosis (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_kurtosis) DoseMaximum (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_maximum) DoseMean (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_mean) DoseMinimum (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_minimum) DoseMoment (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_moment) DoseNVoxels (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_nvoxels) DoseProjection (class in pyanno4rt.optimization.projections) (class in pyanno4rt.optimization.projections._dose_projection) DoseSkewness (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_skewness) DoseSubvolume (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_subvolume) DoseUniformity (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._dose_uniformity) DoseVx (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._dose_vx) dosimetrics (pyanno4rt.base._treatment_plan.TreatmentPlan attribute) (pyanno4rt.base.TreatmentPlan attribute) (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] DosimetricsEvaluator (class in pyanno4rt.evaluation) (class in pyanno4rt.evaluation._dosimetrics_evaluator) DosimetricsTablePlotterMPL (class in pyanno4rt.visualization.visuals) (class in pyanno4rt.visualization.visuals._dosimetrics_table_plotter_mpl) DosiomicFeature (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._feature_class) drop_tpi() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) dvh_type (pyanno4rt.evaluation._dvh_evaluator.DVHEvaluator attribute) (pyanno4rt.evaluation.DVHEvaluator attribute) DVHEvaluator (class in pyanno4rt.evaluation) (class in pyanno4rt.evaluation._dvh_evaluator) DVHGraphPlotterMPL (class in pyanno4rt.visualization.visuals) (class in pyanno4rt.visualization.visuals._dvh_graph_plotter_mpl) DVHWidget (class in pyanno4rt.gui.custom_widgets) (class in pyanno4rt.gui.custom_widgets._dvh_widget)

E

embedding (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass attribute) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components.ConventionalComponentClass attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.RadiobiologyComponentClass attribute) end_autoplay() (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget method) Equalizer (class in pyanno4rt.learning_model.preprocessing.transformers) (class in pyanno4rt.learning_model.preprocessing.transformers._equalizer) EquivalentUniformDose (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._equivalent_uniform_dose) evaluate() (pyanno4rt.base._treatment_plan.TreatmentPlan method) (pyanno4rt.base.TreatmentPlan method) (pyanno4rt.evaluation._dosimetrics_evaluator.DosimetricsEvaluator method) (pyanno4rt.evaluation._dvh_evaluator.DVHEvaluator method) (pyanno4rt.evaluation.DosimetricsEvaluator method) (pyanno4rt.evaluation.DVHEvaluator method) (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method)

evaluation (pyanno4rt.base._treatment_plan.TreatmentPlan attribute) (pyanno4rt.base.TreatmentPlan attribute) evaluation_map (in module pyanno4rt.input_check.check_maps) (in module pyanno4rt.input_check.check_maps._evaluation_map) evaluation_steps (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget attribute) evaluations (pyanno4rt.learning_model.evaluation._model_evaluator.ModelEvaluator attribute) (pyanno4rt.learning_model.evaluation.ModelEvaluator attribute) evaluator (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.frequentist.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel attribute) eventFilter() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) exit_window() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) expand_all() (pyanno4rt.gui.windows._tree_window.TreeWindow method) (pyanno4rt.gui.windows.TreeWindow method)

F

F1Score (class in pyanno4rt.learning_model.evaluation.metrics) (class in pyanno4rt.learning_model.evaluation.metrics._f1_score) feature_box (pyanno4rt.visualization.visuals._feature_select_window_pyqt.ComboBoxFeature attribute) feature_calculator (pyanno4rt.learning_model._data_model_handler.DataModelHandler attribute) (pyanno4rt.learning_model.DataModelHandler attribute) feature_class (pyanno4rt.learning_model.features.catalogue._feature_class.DemographicFeature attribute) (pyanno4rt.learning_model.features.catalogue._feature_class.DosiomicFeature attribute) (pyanno4rt.learning_model.features.catalogue._feature_class.RadiomicFeature attribute) (pyanno4rt.learning_model.features.catalogue.DemographicFeature attribute) (pyanno4rt.learning_model.features.catalogue.DosiomicFeature attribute) (pyanno4rt.learning_model.features.catalogue.RadiomicFeature attribute) feature_filter (pyanno4rt.learning_model.dataset._tabular_data_generator.TabularDataGenerator attribute) (pyanno4rt.learning_model.dataset.TabularDataGenerator attribute) feature_history (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator attribute) (pyanno4rt.learning_model.features.FeatureCalculator attribute) (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget attribute) feature_inputs (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator attribute) (pyanno4rt.learning_model.features.FeatureCalculator attribute) feature_map (pyanno4rt.learning_model.features._feature_map_generator.FeatureMapGenerator attribute) (pyanno4rt.learning_model.features.FeatureMapGenerator attribute) feature_map_generator (pyanno4rt.learning_model._data_model_handler.DataModelHandler attribute) (pyanno4rt.learning_model.DataModelHandler attribute) feature_maps (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] feature_values (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget attribute) FeatureCalculator (class in pyanno4rt.learning_model.features) (class in pyanno4rt.learning_model.features._feature_calculator) FeatureMapGenerator (class in pyanno4rt.learning_model.features) (class in pyanno4rt.learning_model.features._feature_map_generator) features (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.frequentist.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel attribute) FeatureSelectWindowPyQt (class in pyanno4rt.visualization.visuals) (class in pyanno4rt.visualization.visuals._feature_select_window_pyqt) FeatureWidget (class in pyanno4rt.visualization.visuals._feature_select_window_pyqt) featurize() (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator method) (pyanno4rt.learning_model.features.FeatureCalculator method) fetch() (pyanno4rt.gui._gui.GraphicalUserInterface method) (pyanno4rt.gui.GraphicalUserInterface method) fit() (pyanno4rt.learning_model.preprocessing._data_preprocessor.DataPreprocessor method) (pyanno4rt.learning_model.preprocessing.DataPreprocessor method) (pyanno4rt.learning_model.preprocessing.transformers._equalizer.Equalizer method) (pyanno4rt.learning_model.preprocessing.transformers._standard_scaler.StandardScaler method) (pyanno4rt.learning_model.preprocessing.transformers._whitening.Whitening method) (pyanno4rt.learning_model.preprocessing.transformers.Equalizer method) (pyanno4rt.learning_model.preprocessing.transformers.StandardScaler method) (pyanno4rt.learning_model.preprocessing.transformers.Whitening method)

fit_transform() (pyanno4rt.learning_model.preprocessing._data_preprocessor.DataPreprocessor method) (pyanno4rt.learning_model.preprocessing.DataPreprocessor method) flatten() (in module pyanno4rt.tools) (in module pyanno4rt.tools._flatten) fluence_optimizer (pyanno4rt.base._treatment_plan.TreatmentPlan attribute) (pyanno4rt.base.TreatmentPlan attribute) FluenceInitializer (class in pyanno4rt.optimization.initializers) (class in pyanno4rt.optimization.initializers._fluence_initializer) FluenceOptimizer (class in pyanno4rt.optimization) (class in pyanno4rt.optimization._fluence_optimizer) fun (pyanno4rt.optimization.solvers._proxmin_solver.ProxminSolver attribute) (pyanno4rt.optimization.solvers._pyanno4rt_solver.Pyanno4rtSolver attribute) (pyanno4rt.optimization.solvers._pymoo_solver.PymooSolver attribute) (pyanno4rt.optimization.solvers._pypop7_solver.PyPop7Solver attribute) (pyanno4rt.optimization.solvers._scipy_solver.SciPySolver attribute) (pyanno4rt.optimization.solvers.ProxminSolver attribute) (pyanno4rt.optimization.solvers.Pyanno4rtSolver attribute) (pyanno4rt.optimization.solvers.PymooSolver attribute) (pyanno4rt.optimization.solvers.PyPop7Solver attribute) (pyanno4rt.optimization.solvers.SciPySolver attribute) function() (pyanno4rt.learning_model.features.catalogue._dose_deviation.DoseDeviation static method) (pyanno4rt.learning_model.features.catalogue._dose_energy.DoseEnergy static method) (pyanno4rt.learning_model.features.catalogue._dose_entropy.DoseEntropy static method) (pyanno4rt.learning_model.features.catalogue._dose_gradient.DoseGradient static method) (pyanno4rt.learning_model.features.catalogue._dose_kurtosis.DoseKurtosis static method) (pyanno4rt.learning_model.features.catalogue._dose_maximum.DoseMaximum static method) (pyanno4rt.learning_model.features.catalogue._dose_mean.DoseMean static method) (pyanno4rt.learning_model.features.catalogue._dose_minimum.DoseMinimum static method) (pyanno4rt.learning_model.features.catalogue._dose_moment.DoseMoment static method) (pyanno4rt.learning_model.features.catalogue._dose_nvoxels.DoseNVoxels static method) (pyanno4rt.learning_model.features.catalogue._dose_skewness.DoseSkewness static method) (pyanno4rt.learning_model.features.catalogue._dose_subvolume.DoseSubvolume static method) (pyanno4rt.learning_model.features.catalogue._dose_vx.DoseVx static method) (pyanno4rt.learning_model.features.catalogue.DoseDeviation static method) (pyanno4rt.learning_model.features.catalogue.DoseEnergy static method) (pyanno4rt.learning_model.features.catalogue.DoseEntropy static method) (pyanno4rt.learning_model.features.catalogue.DoseGradient static method) (pyanno4rt.learning_model.features.catalogue.DoseKurtosis static method) (pyanno4rt.learning_model.features.catalogue.DoseMaximum static method) (pyanno4rt.learning_model.features.catalogue.DoseMean static method) (pyanno4rt.learning_model.features.catalogue.DoseMinimum static method) (pyanno4rt.learning_model.features.catalogue.DoseMoment static method) (pyanno4rt.learning_model.features.catalogue.DoseNVoxels static method) (pyanno4rt.learning_model.features.catalogue.DoseSkewness static method) (pyanno4rt.learning_model.features.catalogue.DoseSubvolume static method) (pyanno4rt.learning_model.features.catalogue.DoseVx static method) fuzzy_matching (pyanno4rt.learning_model.features._feature_map_generator.FeatureMapGenerator attribute) (pyanno4rt.learning_model.features.FeatureMapGenerator attribute)

G

generate() (pyanno4rt.dose_info._dose_info_generator.DoseInfoGenerator method) (pyanno4rt.dose_info.DoseInfoGenerator method) (pyanno4rt.learning_model.dataset._tabular_data_generator.TabularDataGenerator method) (pyanno4rt.learning_model.dataset.TabularDataGenerator method) (pyanno4rt.learning_model.features._feature_map_generator.FeatureMapGenerator method) (pyanno4rt.learning_model.features.FeatureMapGenerator method) (pyanno4rt.plan._plan_generator.PlanGenerator method) (pyanno4rt.plan.PlanGenerator method) generate_ct_from_dcm() (in module pyanno4rt.patient.import_functions) (in module pyanno4rt.patient.import_functions._generate_ct_from_dcm) generate_ct_from_mat() (in module pyanno4rt.patient.import_functions) (in module pyanno4rt.patient.import_functions._generate_ct_from_mat) generate_ct_from_p() (in module pyanno4rt.patient.import_functions) (in module pyanno4rt.patient.import_functions._generate_ct_from_p) generate_segmentation_from_dcm() (in module pyanno4rt.patient.import_functions) (in module pyanno4rt.patient.import_functions._generate_segmentation_from_dcm) generate_segmentation_from_mat() (in module pyanno4rt.patient.import_functions) (in module pyanno4rt.patient.import_functions._generate_segmentation_from_mat) generate_segmentation_from_p() (in module pyanno4rt.patient.import_functions) (in module pyanno4rt.patient.import_functions._generate_segmentation_from_p) get_all_constraints() (in module pyanno4rt.tools) (in module pyanno4rt.tools._get_all_constraints) get_all_objectives() (in module pyanno4rt.tools) (in module pyanno4rt.tools._get_all_objectives) get_constraint_bounds() (pyanno4rt.optimization._fluence_optimizer.FluenceOptimizer static method) (pyanno4rt.optimization.FluenceOptimizer static method) get_constraint_segments() (in module pyanno4rt.tools) (in module pyanno4rt.tools._get_constraint_segments) get_conventional_constraints() (in module pyanno4rt.tools) (in module pyanno4rt.tools._get_conventional_constraints) get_conventional_objectives() (in module pyanno4rt.tools) (in module pyanno4rt.tools._get_conventional_objectives) get_dose() (pyanno4rt.optimization.projections._backprojection.BackProjection method) (pyanno4rt.optimization.projections.BackProjection method) get_feature_vector() (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator method) (pyanno4rt.learning_model.features.FeatureCalculator method) get_fields() (pyanno4rt.gui.windows._settings_window.SettingsWindow method) (pyanno4rt.gui.windows.SettingsWindow method) get_fluence_gradient() (pyanno4rt.optimization.projections._backprojection.BackProjection method) (pyanno4rt.optimization.projections.BackProjection method) get_intercept_value() (pyanno4rt.optimization.components._logistic_regression_ntcp.LogisticRegressionNTCP method) (pyanno4rt.optimization.components._logistic_regression_tcp.LogisticRegressionTCP method) (pyanno4rt.optimization.components.LogisticRegressionNTCP method) (pyanno4rt.optimization.components.LogisticRegressionTCP method) get_machine_learning_constraints() (in module pyanno4rt.tools) (in module pyanno4rt.tools._get_machine_learning_constraints) get_machine_learning_objectives() (in module pyanno4rt.tools) (in module pyanno4rt.tools._get_machine_learning_objectives) get_model() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method)

get_objective_segments() (in module pyanno4rt.tools) (in module pyanno4rt.tools._get_objective_segments) get_optimization_model() (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) get_parameter_value() (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass method) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass method) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass method) (pyanno4rt.optimization.components.ConventionalComponentClass method) (pyanno4rt.optimization.components.MachineLearningComponentClass method) (pyanno4rt.optimization.components.RadiobiologyComponentClass method) get_prediction_model() (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) get_radiobiology_constraints() (in module pyanno4rt.tools) (in module pyanno4rt.tools._get_radiobiology_constraints) get_radiobiology_objectives() (in module pyanno4rt.tools) (in module pyanno4rt.tools._get_radiobiology_objectives) get_segment_statistics() (pyanno4rt.gui.custom_widgets._dvh_widget.DVHWidget method) (pyanno4rt.gui.custom_widgets.DVHWidget method) get_variable_bounds() (pyanno4rt.optimization._fluence_optimizer.FluenceOptimizer static method) (pyanno4rt.optimization.FluenceOptimizer static method) get_weight_value() (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass method) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass method) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass method) (pyanno4rt.optimization.components.ConventionalComponentClass method) (pyanno4rt.optimization.components.MachineLearningComponentClass method) (pyanno4rt.optimization.components.RadiobiologyComponentClass method) gradient() (pyanno4rt.learning_model.features.catalogue._dose_energy.DoseEnergy static method) (pyanno4rt.learning_model.features.catalogue._dose_entropy.DoseEntropy static method) (pyanno4rt.learning_model.features.catalogue.DoseEnergy static method) (pyanno4rt.learning_model.features.catalogue.DoseEntropy static method) (pyanno4rt.optimization.methods._lexicographic_optimization.LexicographicOptimization method) (pyanno4rt.optimization.methods._weighted_sum_optimization.WeightedSumOptimization method) (pyanno4rt.optimization.methods.LexicographicOptimization method) (pyanno4rt.optimization.methods.WeightedSumOptimization method) gradient_function (pyanno4rt.learning_model.features.catalogue._feature_class.DosiomicFeature attribute) (pyanno4rt.learning_model.features.catalogue.DosiomicFeature attribute) gradient_history (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator attribute) (pyanno4rt.learning_model.features.FeatureCalculator attribute) gradient_is_jitted (pyanno4rt.learning_model.features.catalogue._feature_class.DosiomicFeature attribute) (pyanno4rt.learning_model.features.catalogue.DosiomicFeature attribute) gradientize() (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator method) (pyanno4rt.learning_model.features.FeatureCalculator method) (pyanno4rt.learning_model.preprocessing._data_preprocessor.DataPreprocessor method) (pyanno4rt.learning_model.preprocessing.DataPreprocessor method) graph (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget attribute) GraphicalUserInterface (class in pyanno4rt.gui) (class in pyanno4rt.gui._gui)

H

horizontal_line (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget attribute) hyperparameter_path (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.frequentist.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel attribute)

hyperparameters (pyanno4rt.learning_model.inspection._model_inspector.ModelInspector attribute) (pyanno4rt.learning_model.inspection.inspections._permutation_importance.PermutationImportance attribute) (pyanno4rt.learning_model.inspection.inspections.PermutationImportance attribute) (pyanno4rt.learning_model.inspection.ModelInspector attribute)

I

identifier (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass attribute) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components.ConventionalComponentClass attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.RadiobiologyComponentClass attribute) identity() (in module pyanno4rt.tools) (in module pyanno4rt.tools._identity) imaging_path (pyanno4rt.patient._patient_loader.PatientLoader attribute) (pyanno4rt.patient.PatientLoader attribute) import_from_dcm() (in module pyanno4rt.patient.import_functions) (in module pyanno4rt.patient.import_functions._import_from_dcm) import_from_mat() (in module pyanno4rt.patient.import_functions) (in module pyanno4rt.patient.import_functions._import_from_mat) import_from_p() (in module pyanno4rt.patient.import_functions) (in module pyanno4rt.patient.import_functions._import_from_p) increment_slice() (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget method) InfoWindow (class in pyanno4rt.gui.windows) (class in pyanno4rt.gui.windows._info_window) initial_fluence_vector (pyanno4rt.optimization.initializers._fluence_initializer.FluenceInitializer attribute) (pyanno4rt.optimization.initializers.FluenceInitializer attribute) initial_position (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget attribute) initial_strategy (pyanno4rt.optimization.initializers._fluence_initializer.FluenceInitializer attribute) (pyanno4rt.optimization.initializers.FluenceInitializer attribute) initialize() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) initialize_fluence() (pyanno4rt.optimization.initializers._fluence_initializer.FluenceInitializer method) (pyanno4rt.optimization.initializers.FluenceInitializer method) initialize_from_data() (pyanno4rt.optimization.initializers._fluence_initializer.FluenceInitializer method) (pyanno4rt.optimization.initializers.FluenceInitializer method) initialize_from_reference() (pyanno4rt.optimization.initializers._fluence_initializer.FluenceInitializer method) (pyanno4rt.optimization.initializers.FluenceInitializer method) initialize_from_target() (pyanno4rt.optimization.initializers._fluence_initializer.FluenceInitializer method) (pyanno4rt.optimization.initializers.FluenceInitializer method) initialize_logger() (pyanno4rt.logging._logger.Logger method) (pyanno4rt.logging.Logger method) input_checker (pyanno4rt.base._treatment_plan.TreatmentPlan attribute) (pyanno4rt.base.TreatmentPlan attribute) (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] InputChecker (class in pyanno4rt.input_check) (class in pyanno4rt.input_check._input_checker)

inspect() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method) inspections (pyanno4rt.learning_model.inspection._model_inspector.ModelInspector attribute) (pyanno4rt.learning_model.inspection.ModelInspector attribute) inspector (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.frequentist.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel attribute) instances (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] integrate() (pyanno4rt.learning_model._data_model_handler.DataModelHandler method) (pyanno4rt.learning_model.DataModelHandler method) intercept_value (pyanno4rt.optimization.components._logistic_regression_ntcp.LogisticRegressionNTCP attribute) (pyanno4rt.optimization.components._logistic_regression_tcp.LogisticRegressionTCP attribute) (pyanno4rt.optimization.components.LogisticRegressionNTCP attribute) (pyanno4rt.optimization.components.LogisticRegressionTCP attribute) inverse_sigmoid() (in module pyanno4rt.tools) (in module pyanno4rt.tools._inverse_sigmoid) IterGraphPlotterMPL (class in pyanno4rt.visualization.visuals) (class in pyanno4rt.visualization.visuals._iter_graph_plotter_mpl)

J

jacobian() (pyanno4rt.optimization.methods._weighted_sum_optimization.WeightedSumOptimization method) (pyanno4rt.optimization.methods.WeightedSumOptimization method)

K

KNeighborsModel (class in pyanno4rt.learning_model.frequentist) (class in pyanno4rt.learning_model.frequentist._k_nearest_neighbors) KNeighborsNTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._k_nearest_neighbors_ntcp)

KNeighborsTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._k_nearest_neighbors_tcp)

L

label (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] (pyanno4rt.learning_model.preprocessing.transformers._equalizer.Equalizer attribute) (pyanno4rt.learning_model.preprocessing.transformers._standard_scaler.StandardScaler attribute) (pyanno4rt.learning_model.preprocessing.transformers._whitening.Whitening attribute) (pyanno4rt.learning_model.preprocessing.transformers.Equalizer attribute) (pyanno4rt.learning_model.preprocessing.transformers.StandardScaler attribute) (pyanno4rt.learning_model.preprocessing.transformers.Whitening attribute) (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.CtDoseSlicingWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.ScrollBar attribute) (pyanno4rt.visualization.visuals._dosimetrics_table_plotter_mpl.DosimetricsTablePlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._dvh_graph_plotter_mpl.DVHGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureSelectWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget attribute) (pyanno4rt.visualization.visuals._iter_graph_plotter_mpl.IterGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._metrics_graphs_plotter_mpl.MetricsGraphsPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._metrics_tables_plotter_mpl.MetricsTablesPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._ntcp_graph_plotter_mpl.NTCPGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._permutation_importance_plotter_mpl.PermutationImportancePlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.CtDoseSlicingWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals.DosimetricsTablePlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.DVHGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.FeatureSelectWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals.IterGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.MetricsGraphsPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.MetricsTablesPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.NTCPGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.PermutationImportancePlotterMPL attribute), [1] label_bounds (pyanno4rt.learning_model.dataset._tabular_data_generator.TabularDataGenerator attribute) (pyanno4rt.learning_model.dataset.TabularDataGenerator attribute) label_name (pyanno4rt.learning_model.dataset._tabular_data_generator.TabularDataGenerator attribute) (pyanno4rt.learning_model.dataset.TabularDataGenerator attribute) label_viewpoint (pyanno4rt.learning_model.dataset._tabular_data_generator.TabularDataGenerator attribute) (pyanno4rt.learning_model.dataset.TabularDataGenerator attribute) labels (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.frequentist.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.preprocessing._data_preprocessor.DataPreprocessor attribute) (pyanno4rt.learning_model.preprocessing.DataPreprocessor attribute)

launch() (pyanno4rt.gui._gui.GraphicalUserInterface method) (pyanno4rt.gui.GraphicalUserInterface method) (pyanno4rt.visualization._visualizer.Visualizer method) (pyanno4rt.visualization.Visualizer method) ledit (in module _custom_styles) LexicographicOptimization (class in pyanno4rt.optimization.methods) (class in pyanno4rt.optimization.methods._lexicographic_optimization) linear_decision_function() (in module pyanno4rt.learning_model.frequentist.additional_files) (in module pyanno4rt.learning_model.frequentist.additional_files._support_vector_machine_decision_functions) linear_decision_gradient() (in module pyanno4rt.learning_model.frequentist.additional_files) (in module pyanno4rt.learning_model.frequentist.additional_files._support_vector_machine_decision_functions) link (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass attribute) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components.ConventionalComponentClass attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.RadiobiologyComponentClass attribute) load() (pyanno4rt.patient._patient_loader.PatientLoader method) (pyanno4rt.patient.PatientLoader method) load_list_from_file() (in module pyanno4rt.tools) (in module pyanno4rt.tools._load_list_from_file) load_tpi() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) log_loss() (in module pyanno4rt.learning_model.losses) (in module pyanno4rt.learning_model.losses._log_loss) Logger (class in pyanno4rt.logging) (class in pyanno4rt.logging._logger) logger (pyanno4rt.base._treatment_plan.TreatmentPlan attribute) (pyanno4rt.base.TreatmentPlan attribute) (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] (pyanno4rt.logging._logger.Logger attribute) (pyanno4rt.logging.Logger attribute) LogisticRegressionModel (class in pyanno4rt.learning_model.frequentist) (class in pyanno4rt.learning_model.frequentist._logistic_regression) LogisticRegressionNTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._logistic_regression_ntcp) LogisticRegressionTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._logistic_regression_tcp) LogWindow (class in pyanno4rt.gui.windows) (class in pyanno4rt.gui.windows._log_window) loss_map (in module pyanno4rt.learning_model.frequentist.additional_files) (in module pyanno4rt.learning_model.frequentist.additional_files._neural_network_losses) LQPoissonTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._lq_poisson_tcp) LymanKutcherBurmanNTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._lyman_kutcher_burman_ntcp)

M

MachineLearningComponentClass (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._machine_learning_component_class) MainWindow (class in pyanno4rt.gui.windows) (class in pyanno4rt.gui.windows._main_window) (class in pyanno4rt.visualization._visualizer) mark_points() (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget method) matfunction() (pyanno4rt.learning_model.features.catalogue._dose_dx.DoseDx static method) (pyanno4rt.learning_model.features.catalogue.DoseDx static method) matrix (pyanno4rt.learning_model.preprocessing.transformers._whitening.Whitening attribute) (pyanno4rt.learning_model.preprocessing.transformers.Whitening attribute) MaximumDVH (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._maximum_dvh) MeanDose (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._mean_dose) means (pyanno4rt.learning_model.preprocessing.transformers._standard_scaler.StandardScaler attribute) (pyanno4rt.learning_model.preprocessing.transformers._whitening.Whitening attribute) (pyanno4rt.learning_model.preprocessing.transformers.StandardScaler attribute) (pyanno4rt.learning_model.preprocessing.transformers.Whitening attribute) method (pyanno4rt.learning_model.preprocessing.transformers._whitening.Whitening attribute) (pyanno4rt.learning_model.preprocessing.transformers.Whitening attribute) method_map (in module pyanno4rt.optimization.methods) (in module pyanno4rt.optimization.methods._method_map) MetricsGraphsPlotterMPL (class in pyanno4rt.visualization.visuals) (class in pyanno4rt.visualization.visuals._metrics_graphs_plotter_mpl) MetricsTablesPlotterMPL (class in pyanno4rt.visualization.visuals) (class in pyanno4rt.visualization.visuals._metrics_tables_plotter_mpl) MinimumDVH (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._minimum_dvh) modality (pyanno4rt.plan._plan_generator.PlanGenerator attribute) (pyanno4rt.plan.PlanGenerator attribute) model (pyanno4rt.optimization.components._decision_tree_ntcp.DecisionTreeNTCP attribute) (pyanno4rt.optimization.components._decision_tree_tcp.DecisionTreeTCP attribute) (pyanno4rt.optimization.components._k_nearest_neighbors_ntcp.KNeighborsNTCP attribute) (pyanno4rt.optimization.components._k_nearest_neighbors_tcp.KNeighborsTCP attribute) (pyanno4rt.optimization.components._logistic_regression_ntcp.LogisticRegressionNTCP attribute) (pyanno4rt.optimization.components._logistic_regression_tcp.LogisticRegressionTCP attribute) (pyanno4rt.optimization.components._naive_bayes_ntcp.NaiveBayesNTCP attribute) (pyanno4rt.optimization.components._naive_bayes_tcp.NaiveBayesTCP attribute) (pyanno4rt.optimization.components._neural_network_ntcp.NeuralNetworkNTCP attribute) (pyanno4rt.optimization.components._neural_network_tcp.NeuralNetworkTCP attribute) (pyanno4rt.optimization.components._random_forest_ntcp.RandomForestNTCP attribute) (pyanno4rt.optimization.components._random_forest_tcp.RandomForestTCP attribute) (pyanno4rt.optimization.components._support_vector_machine_ntcp.SupportVectorMachineNTCP attribute) (pyanno4rt.optimization.components._support_vector_machine_tcp.SupportVectorMachineTCP attribute) (pyanno4rt.optimization.components.DecisionTreeNTCP attribute) (pyanno4rt.optimization.components.DecisionTreeTCP attribute) (pyanno4rt.optimization.components.KNeighborsNTCP attribute) (pyanno4rt.optimization.components.KNeighborsTCP attribute) (pyanno4rt.optimization.components.LogisticRegressionNTCP attribute) (pyanno4rt.optimization.components.LogisticRegressionTCP attribute) (pyanno4rt.optimization.components.NaiveBayesNTCP attribute) (pyanno4rt.optimization.components.NaiveBayesTCP attribute) (pyanno4rt.optimization.components.NeuralNetworkNTCP attribute) (pyanno4rt.optimization.components.NeuralNetworkTCP attribute) (pyanno4rt.optimization.components.RandomForestNTCP attribute) (pyanno4rt.optimization.components.RandomForestTCP attribute) (pyanno4rt.optimization.components.SupportVectorMachineNTCP attribute) (pyanno4rt.optimization.components.SupportVectorMachineTCP attribute) model_box (pyanno4rt.visualization.visuals._feature_select_window_pyqt.ComboBoxModel attribute) model_display_map (in module pyanno4rt.input_check.check_maps) (in module pyanno4rt.input_check.check_maps._model_display_map) model_evaluations (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] model_inspections (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] model_instances (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] model_label (pyanno4rt.learning_model._data_model_handler.DataModelHandler attribute) (pyanno4rt.learning_model.DataModelHandler attribute) (pyanno4rt.learning_model.dataset._tabular_data_generator.TabularDataGenerator attribute) (pyanno4rt.learning_model.dataset.TabularDataGenerator attribute) model_map (in module pyanno4rt.input_check.check_maps) (in module pyanno4rt.input_check.check_maps._model_map) model_name (pyanno4rt.learning_model.evaluation._model_evaluator.ModelEvaluator attribute) (pyanno4rt.learning_model.evaluation.metrics._f1_score.F1Score attribute) (pyanno4rt.learning_model.evaluation.metrics._model_kpi.ModelKPI attribute) (pyanno4rt.learning_model.evaluation.metrics._pr_score.PRScore attribute) (pyanno4rt.learning_model.evaluation.metrics._roc_score.ROCScore attribute) (pyanno4rt.learning_model.evaluation.metrics.F1Score attribute) (pyanno4rt.learning_model.evaluation.metrics.ModelKPI attribute) (pyanno4rt.learning_model.evaluation.metrics.PRScore attribute) (pyanno4rt.learning_model.evaluation.metrics.ROCScore attribute) (pyanno4rt.learning_model.evaluation.ModelEvaluator attribute) (pyanno4rt.learning_model.inspection._model_inspector.ModelInspector attribute) (pyanno4rt.learning_model.inspection.inspections._permutation_importance.PermutationImportance attribute) (pyanno4rt.learning_model.inspection.inspections.PermutationImportance attribute) (pyanno4rt.learning_model.inspection.ModelInspector attribute) model_parameters (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) model_path (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.frequentist.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel attribute) ModelEvaluator (class in pyanno4rt.learning_model.evaluation) (class in pyanno4rt.learning_model.evaluation._model_evaluator) ModelInspector (class in pyanno4rt.learning_model.inspection) (class in pyanno4rt.learning_model.inspection._model_inspector) ModelKPI (class in pyanno4rt.learning_model.evaluation.metrics) (class in pyanno4rt.learning_model.evaluation.metrics._model_kpi) modulate() (pyanno4rt.learning_model.dataset._tabular_data_generator.TabularDataGenerator method) (pyanno4rt.learning_model.dataset.TabularDataGenerator method) module _custom_styles pyanno4rt pyanno4rt.base pyanno4rt.base._treatment_plan pyanno4rt.datahub pyanno4rt.datahub._datahub pyanno4rt.dose_info pyanno4rt.dose_info._dose_info_generator pyanno4rt.evaluation pyanno4rt.evaluation._dosimetrics_evaluator pyanno4rt.evaluation._dvh_evaluator pyanno4rt.gui pyanno4rt.gui._gui pyanno4rt.gui.custom_widgets pyanno4rt.gui.custom_widgets._dvh_widget pyanno4rt.gui.custom_widgets._slice_widget pyanno4rt.gui.windows pyanno4rt.gui.windows._info_window pyanno4rt.gui.windows._log_window pyanno4rt.gui.windows._main_window pyanno4rt.gui.windows._plan_creation_window pyanno4rt.gui.windows._settings_window pyanno4rt.gui.windows._text_window pyanno4rt.gui.windows._tree_window pyanno4rt.input_check pyanno4rt.input_check._input_checker pyanno4rt.input_check.check_functions pyanno4rt.input_check.check_functions._check_components pyanno4rt.input_check.check_functions._check_dose_matrix pyanno4rt.input_check.check_functions._check_feature_filter pyanno4rt.input_check.check_functions._check_key_in_dict pyanno4rt.input_check.check_functions._check_length pyanno4rt.input_check.check_functions._check_path pyanno4rt.input_check.check_functions._check_regular_extension pyanno4rt.input_check.check_functions._check_regular_extension_directory pyanno4rt.input_check.check_functions._check_subtype pyanno4rt.input_check.check_functions._check_type pyanno4rt.input_check.check_functions._check_value pyanno4rt.input_check.check_functions._check_value_in_set pyanno4rt.input_check.check_maps pyanno4rt.input_check.check_maps._component_map pyanno4rt.input_check.check_maps._configuration_map pyanno4rt.input_check.check_maps._evaluation_map pyanno4rt.input_check.check_maps._model_display_map pyanno4rt.input_check.check_maps._model_map pyanno4rt.input_check.check_maps._optimization_map pyanno4rt.input_check.check_maps._top_level_map pyanno4rt.input_check.check_maps._tune_space_map pyanno4rt.learning_model pyanno4rt.learning_model._data_model_handler pyanno4rt.learning_model.dataset pyanno4rt.learning_model.dataset._tabular_data_generator pyanno4rt.learning_model.evaluation pyanno4rt.learning_model.evaluation._model_evaluator pyanno4rt.learning_model.evaluation.metrics pyanno4rt.learning_model.evaluation.metrics._f1_score pyanno4rt.learning_model.evaluation.metrics._model_kpi pyanno4rt.learning_model.evaluation.metrics._pr_score pyanno4rt.learning_model.evaluation.metrics._roc_score pyanno4rt.learning_model.features pyanno4rt.learning_model.features._feature_calculator pyanno4rt.learning_model.features._feature_map_generator pyanno4rt.learning_model.features.catalogue pyanno4rt.learning_model.features.catalogue._dose_deviation pyanno4rt.learning_model.features.catalogue._dose_dx pyanno4rt.learning_model.features.catalogue._dose_energy pyanno4rt.learning_model.features.catalogue._dose_entropy pyanno4rt.learning_model.features.catalogue._dose_gradient pyanno4rt.learning_model.features.catalogue._dose_kurtosis pyanno4rt.learning_model.features.catalogue._dose_maximum pyanno4rt.learning_model.features.catalogue._dose_mean pyanno4rt.learning_model.features.catalogue._dose_minimum pyanno4rt.learning_model.features.catalogue._dose_moment pyanno4rt.learning_model.features.catalogue._dose_nvoxels pyanno4rt.learning_model.features.catalogue._dose_skewness pyanno4rt.learning_model.features.catalogue._dose_subvolume pyanno4rt.learning_model.features.catalogue._dose_vx pyanno4rt.learning_model.features.catalogue._feature_class pyanno4rt.learning_model.features.catalogue._patient_age pyanno4rt.learning_model.features.catalogue._patient_daysafterrt pyanno4rt.learning_model.features.catalogue._patient_sex pyanno4rt.learning_model.features.catalogue._segment_area pyanno4rt.learning_model.features.catalogue._segment_compactness pyanno4rt.learning_model.features.catalogue._segment_density pyanno4rt.learning_model.features.catalogue._segment_eccentricity pyanno4rt.learning_model.features.catalogue._segment_eigenmax pyanno4rt.learning_model.features.catalogue._segment_eigenmid pyanno4rt.learning_model.features.catalogue._segment_eigenmin pyanno4rt.learning_model.features.catalogue._segment_eigenvalues pyanno4rt.learning_model.features.catalogue._segment_sphericity pyanno4rt.learning_model.features.catalogue._segment_volume pyanno4rt.learning_model.frequentist pyanno4rt.learning_model.frequentist._decision_tree pyanno4rt.learning_model.frequentist._k_nearest_neighbors pyanno4rt.learning_model.frequentist._logistic_regression pyanno4rt.learning_model.frequentist._naive_bayes pyanno4rt.learning_model.frequentist._neural_network pyanno4rt.learning_model.frequentist._random_forest pyanno4rt.learning_model.frequentist._support_vector_machine pyanno4rt.learning_model.frequentist.additional_files pyanno4rt.learning_model.frequentist.additional_files._neural_network_architectures pyanno4rt.learning_model.frequentist.additional_files._neural_network_losses pyanno4rt.learning_model.frequentist.additional_files._neural_network_optimizers pyanno4rt.learning_model.frequentist.additional_files._support_vector_machine_decision_functions pyanno4rt.learning_model.inspection pyanno4rt.learning_model.inspection._model_inspector pyanno4rt.learning_model.inspection.inspections pyanno4rt.learning_model.inspection.inspections._permutation_importance pyanno4rt.learning_model.losses pyanno4rt.learning_model.losses._brier_loss pyanno4rt.learning_model.losses._log_loss pyanno4rt.learning_model.preprocessing pyanno4rt.learning_model.preprocessing._data_preprocessor pyanno4rt.learning_model.preprocessing.cleaners pyanno4rt.learning_model.preprocessing.reducers pyanno4rt.learning_model.preprocessing.samplers pyanno4rt.learning_model.preprocessing.transformers pyanno4rt.learning_model.preprocessing.transformers._equalizer pyanno4rt.learning_model.preprocessing.transformers._standard_scaler pyanno4rt.learning_model.preprocessing.transformers._whitening pyanno4rt.logging pyanno4rt.logging._logger pyanno4rt.optimization pyanno4rt.optimization._fluence_optimizer pyanno4rt.optimization.components pyanno4rt.optimization.components._component_map pyanno4rt.optimization.components._conventional_component_class pyanno4rt.optimization.components._decision_tree_ntcp pyanno4rt.optimization.components._decision_tree_tcp pyanno4rt.optimization.components._dose_uniformity pyanno4rt.optimization.components._equivalent_uniform_dose pyanno4rt.optimization.components._k_nearest_neighbors_ntcp pyanno4rt.optimization.components._k_nearest_neighbors_tcp pyanno4rt.optimization.components._logistic_regression_ntcp pyanno4rt.optimization.components._logistic_regression_tcp pyanno4rt.optimization.components._lq_poisson_tcp pyanno4rt.optimization.components._lyman_kutcher_burman_ntcp pyanno4rt.optimization.components._machine_learning_component_class pyanno4rt.optimization.components._maximum_dvh pyanno4rt.optimization.components._mean_dose pyanno4rt.optimization.components._minimum_dvh pyanno4rt.optimization.components._naive_bayes_ntcp pyanno4rt.optimization.components._naive_bayes_tcp pyanno4rt.optimization.components._neural_network_ntcp pyanno4rt.optimization.components._neural_network_tcp pyanno4rt.optimization.components._radiobiology_component_class pyanno4rt.optimization.components._random_forest_ntcp pyanno4rt.optimization.components._random_forest_tcp pyanno4rt.optimization.components._squared_deviation pyanno4rt.optimization.components._squared_overdosing pyanno4rt.optimization.components._squared_underdosing pyanno4rt.optimization.components._support_vector_machine_ntcp pyanno4rt.optimization.components._support_vector_machine_tcp pyanno4rt.optimization.initializers pyanno4rt.optimization.initializers._fluence_initializer pyanno4rt.optimization.methods pyanno4rt.optimization.methods._lexicographic_optimization pyanno4rt.optimization.methods._method_map pyanno4rt.optimization.methods._pareto_optimization pyanno4rt.optimization.methods._weighted_sum_optimization pyanno4rt.optimization.projections pyanno4rt.optimization.projections._backprojection pyanno4rt.optimization.projections._constant_rbe_projection pyanno4rt.optimization.projections._dose_projection pyanno4rt.optimization.projections._projection_map pyanno4rt.optimization.solvers pyanno4rt.optimization.solvers._proxmin_solver pyanno4rt.optimization.solvers._pyanno4rt_solver pyanno4rt.optimization.solvers._pymoo_solver pyanno4rt.optimization.solvers._pypop7_solver pyanno4rt.optimization.solvers._scipy_solver pyanno4rt.optimization.solvers._solver_map pyanno4rt.optimization.solvers.configurations pyanno4rt.optimization.solvers.configurations._configure_proxmin pyanno4rt.optimization.solvers.configurations._configure_pyanno4rt pyanno4rt.optimization.solvers.configurations._configure_pymoo pyanno4rt.optimization.solvers.configurations._configure_pypop7 pyanno4rt.optimization.solvers.configurations._configure_scipy pyanno4rt.optimization.solvers.internals pyanno4rt.patient pyanno4rt.patient._patient_loader pyanno4rt.patient.import_functions pyanno4rt.patient.import_functions._generate_ct_from_dcm pyanno4rt.patient.import_functions._generate_ct_from_mat pyanno4rt.patient.import_functions._generate_ct_from_p pyanno4rt.patient.import_functions._generate_segmentation_from_dcm pyanno4rt.patient.import_functions._generate_segmentation_from_mat pyanno4rt.patient.import_functions._generate_segmentation_from_p pyanno4rt.patient.import_functions._import_from_dcm pyanno4rt.patient.import_functions._import_from_mat pyanno4rt.patient.import_functions._import_from_p pyanno4rt.patient.import_functions._read_data_from_dcm pyanno4rt.patient.import_functions._read_data_from_mat pyanno4rt.patient.import_functions._read_data_from_p pyanno4rt.plan pyanno4rt.plan._plan_generator pyanno4rt.tools pyanno4rt.tools._add_square_brackets pyanno4rt.tools._apply pyanno4rt.tools._arange_with_endpoint pyanno4rt.tools._copycat pyanno4rt.tools._custom_round pyanno4rt.tools._deduplicate pyanno4rt.tools._flatten pyanno4rt.tools._get_all_constraints pyanno4rt.tools._get_all_objectives pyanno4rt.tools._get_constraint_segments pyanno4rt.tools._get_conventional_constraints pyanno4rt.tools._get_conventional_objectives pyanno4rt.tools._get_machine_learning_constraints pyanno4rt.tools._get_machine_learning_objectives pyanno4rt.tools._get_objective_segments pyanno4rt.tools._get_radiobiology_constraints pyanno4rt.tools._get_radiobiology_objectives pyanno4rt.tools._identity pyanno4rt.tools._inverse_sigmoid pyanno4rt.tools._load_list_from_file pyanno4rt.tools._monotonic pyanno4rt.tools._non_decreasing pyanno4rt.tools._non_increasing pyanno4rt.tools._replace_nan pyanno4rt.tools._sigmoid pyanno4rt.tools._snapshot pyanno4rt.visualization pyanno4rt.visualization._visualizer pyanno4rt.visualization.visuals pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt pyanno4rt.visualization.visuals._dosimetrics_table_plotter_mpl pyanno4rt.visualization.visuals._dvh_graph_plotter_mpl pyanno4rt.visualization.visuals._feature_select_window_pyqt pyanno4rt.visualization.visuals._iter_graph_plotter_mpl pyanno4rt.visualization.visuals._metrics_graphs_plotter_mpl pyanno4rt.visualization.visuals._metrics_tables_plotter_mpl pyanno4rt.visualization.visuals._ntcp_graph_plotter_mpl pyanno4rt.visualization.visuals._permutation_importance_plotter_mpl

monotonic() (in module pyanno4rt.tools) (in module pyanno4rt.tools._monotonic)

N

NaiveBayesModel (class in pyanno4rt.learning_model.frequentist) (class in pyanno4rt.learning_model.frequentist._naive_bayes) NaiveBayesNTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._naive_bayes_ntcp) NaiveBayesTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._naive_bayes_tcp) name (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass attribute) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components.ConventionalComponentClass attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.methods._lexicographic_optimization.LexicographicOptimization attribute) (pyanno4rt.optimization.methods.LexicographicOptimization attribute) (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.CtDoseSlicingWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals._dosimetrics_table_plotter_mpl.DosimetricsTablePlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._dvh_graph_plotter_mpl.DVHGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureSelectWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals._iter_graph_plotter_mpl.IterGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._metrics_graphs_plotter_mpl.MetricsGraphsPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._metrics_tables_plotter_mpl.MetricsTablesPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._ntcp_graph_plotter_mpl.NTCPGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals._permutation_importance_plotter_mpl.PermutationImportancePlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.CtDoseSlicingWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals.DosimetricsTablePlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.DVHGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.FeatureSelectWindowPyQt attribute), [1] (pyanno4rt.visualization.visuals.IterGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.MetricsGraphsPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.MetricsTablesPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.NTCPGraphPlotterMPL attribute), [1] (pyanno4rt.visualization.visuals.PermutationImportancePlotterMPL attribute), [1]

NeuralNetworkModel (class in pyanno4rt.learning_model.frequentist) (class in pyanno4rt.learning_model.frequentist._neural_network) NeuralNetworkNTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._neural_network_ntcp) NeuralNetworkTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._neural_network_tcp) non_decreasing() (in module pyanno4rt.tools) (in module pyanno4rt.tools._non_decreasing) non_increasing() (in module pyanno4rt.tools) (in module pyanno4rt.tools._non_increasing) notify() (pyanno4rt.optimization.solvers._pymoo_solver.CustomCallback method) NTCPGraphPlotterMPL (class in pyanno4rt.visualization.visuals) (class in pyanno4rt.visualization.visuals._ntcp_graph_plotter_mpl) number_of_fractions (pyanno4rt.dose_info._dose_info_generator.DoseInfoGenerator attribute) (pyanno4rt.dose_info.DoseInfoGenerator attribute) number_of_points (pyanno4rt.evaluation._dvh_evaluator.DVHEvaluator attribute) (pyanno4rt.evaluation.DVHEvaluator attribute)

O

objective() (pyanno4rt.optimization.methods._lexicographic_optimization.LexicographicOptimization method) (pyanno4rt.optimization.methods._pareto_optimization.ParetoOptimization method) (pyanno4rt.optimization.methods._weighted_sum_optimization.WeightedSumOptimization method) (pyanno4rt.optimization.methods.LexicographicOptimization method) (pyanno4rt.optimization.methods.ParetoOptimization method) (pyanno4rt.optimization.methods.WeightedSumOptimization method) objective_names (pyanno4rt.optimization.solvers._pymoo_solver.CustomCallback attribute) objectives (pyanno4rt.optimization.methods._lexicographic_optimization.LexicographicOptimization attribute) (pyanno4rt.optimization.methods._pareto_optimization.ParetoOptimization attribute) (pyanno4rt.optimization.methods._weighted_sum_optimization.WeightedSumOptimization attribute) (pyanno4rt.optimization.methods.LexicographicOptimization attribute) (pyanno4rt.optimization.methods.ParetoOptimization attribute) (pyanno4rt.optimization.methods.WeightedSumOptimization attribute) oof_prediction (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.frequentist.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel attribute) open_feature_map_window() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method)

open_info_window() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) open_log_window() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) open_model_data_window() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) open_parameter_window() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) open_plan_creation_window() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) open_plan_window() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) open_question_dialog() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) open_settings_window() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) optimization (pyanno4rt.base._treatment_plan.TreatmentPlan attribute) (pyanno4rt.base.TreatmentPlan attribute) (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] optimization_map (in module pyanno4rt.input_check.check_maps) (in module pyanno4rt.input_check.check_maps._optimization_map) optimization_model (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) optimize() (pyanno4rt.base._treatment_plan.TreatmentPlan method) (pyanno4rt.base.TreatmentPlan method) (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) optimizer_map (in module pyanno4rt.learning_model.frequentist.additional_files) (in module pyanno4rt.learning_model.frequentist.additional_files._neural_network_optimizers)

P

parameter_category (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass attribute) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components.ConventionalComponentClass attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.RadiobiologyComponentClass attribute) parameter_name (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass attribute) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components.ConventionalComponentClass attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.RadiobiologyComponentClass attribute) parameter_value (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass attribute) (pyanno4rt.optimization.components._decision_tree_ntcp.DecisionTreeNTCP attribute) (pyanno4rt.optimization.components._decision_tree_tcp.DecisionTreeTCP attribute) (pyanno4rt.optimization.components._dose_uniformity.DoseUniformity attribute) (pyanno4rt.optimization.components._equivalent_uniform_dose.EquivalentUniformDose attribute) (pyanno4rt.optimization.components._k_nearest_neighbors_ntcp.KNeighborsNTCP attribute) (pyanno4rt.optimization.components._k_nearest_neighbors_tcp.KNeighborsTCP attribute) (pyanno4rt.optimization.components._logistic_regression_ntcp.LogisticRegressionNTCP attribute) (pyanno4rt.optimization.components._logistic_regression_tcp.LogisticRegressionTCP attribute) (pyanno4rt.optimization.components._lq_poisson_tcp.LQPoissonTCP attribute) (pyanno4rt.optimization.components._lyman_kutcher_burman_ntcp.LymanKutcherBurmanNTCP attribute) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components._maximum_dvh.MaximumDVH attribute) (pyanno4rt.optimization.components._mean_dose.MeanDose attribute) (pyanno4rt.optimization.components._minimum_dvh.MinimumDVH attribute) (pyanno4rt.optimization.components._naive_bayes_ntcp.NaiveBayesNTCP attribute) (pyanno4rt.optimization.components._naive_bayes_tcp.NaiveBayesTCP attribute) (pyanno4rt.optimization.components._neural_network_ntcp.NeuralNetworkNTCP attribute) (pyanno4rt.optimization.components._neural_network_tcp.NeuralNetworkTCP attribute) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components._random_forest_ntcp.RandomForestNTCP attribute) (pyanno4rt.optimization.components._random_forest_tcp.RandomForestTCP attribute) (pyanno4rt.optimization.components._squared_deviation.SquaredDeviation attribute) (pyanno4rt.optimization.components._squared_overdosing.SquaredOverdosing attribute) (pyanno4rt.optimization.components._squared_underdosing.SquaredUnderdosing attribute) (pyanno4rt.optimization.components._support_vector_machine_ntcp.SupportVectorMachineNTCP attribute) (pyanno4rt.optimization.components._support_vector_machine_tcp.SupportVectorMachineTCP attribute) (pyanno4rt.optimization.components.ConventionalComponentClass attribute) (pyanno4rt.optimization.components.DecisionTreeNTCP attribute) (pyanno4rt.optimization.components.DecisionTreeTCP attribute) (pyanno4rt.optimization.components.DoseUniformity attribute) (pyanno4rt.optimization.components.EquivalentUniformDose attribute) (pyanno4rt.optimization.components.KNeighborsNTCP attribute) (pyanno4rt.optimization.components.KNeighborsTCP attribute) (pyanno4rt.optimization.components.LogisticRegressionNTCP attribute) (pyanno4rt.optimization.components.LogisticRegressionTCP attribute) (pyanno4rt.optimization.components.LQPoissonTCP attribute) (pyanno4rt.optimization.components.LymanKutcherBurmanNTCP attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.MaximumDVH attribute) (pyanno4rt.optimization.components.MeanDose attribute) (pyanno4rt.optimization.components.MinimumDVH attribute) (pyanno4rt.optimization.components.NaiveBayesNTCP attribute) (pyanno4rt.optimization.components.NaiveBayesTCP attribute) (pyanno4rt.optimization.components.NeuralNetworkNTCP attribute) (pyanno4rt.optimization.components.NeuralNetworkTCP attribute) (pyanno4rt.optimization.components.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components.RandomForestNTCP attribute) (pyanno4rt.optimization.components.RandomForestTCP attribute) (pyanno4rt.optimization.components.SquaredDeviation attribute) (pyanno4rt.optimization.components.SquaredOverdosing attribute) (pyanno4rt.optimization.components.SquaredUnderdosing attribute) (pyanno4rt.optimization.components.SupportVectorMachineNTCP attribute) (pyanno4rt.optimization.components.SupportVectorMachineTCP attribute) ParetoOptimization (class in pyanno4rt.optimization.methods) (class in pyanno4rt.optimization.methods._pareto_optimization) patient_loader (pyanno4rt.base._treatment_plan.TreatmentPlan attribute) (pyanno4rt.base.TreatmentPlan attribute) PatientAge (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._patient_age) PatientDaysafterrt (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._patient_daysafterrt) PatientLoader (class in pyanno4rt.patient) (class in pyanno4rt.patient._patient_loader) PatientSex (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._patient_sex) pause_button (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.ScrollBar attribute) pbutton_composer (in module _custom_styles) pbutton_menu (in module _custom_styles) pbutton_workflow (in module _custom_styles) pen (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget attribute) PermutationImportance (class in pyanno4rt.learning_model.inspection.inspections) (class in pyanno4rt.learning_model.inspection.inspections._permutation_importance) PermutationImportancePlotterMPL (class in pyanno4rt.visualization.visuals) (class in pyanno4rt.visualization.visuals._permutation_importance_plotter_mpl) pipeline (pyanno4rt.learning_model.preprocessing._data_preprocessor.DataPreprocessor attribute) (pyanno4rt.learning_model.preprocessing.DataPreprocessor attribute) plan_configuration (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] plan_generator (pyanno4rt.base._treatment_plan.TreatmentPlan attribute) (pyanno4rt.base.TreatmentPlan attribute) PlanCreationWindow (class in pyanno4rt.gui.windows) (class in pyanno4rt.gui.windows._plan_creation_window) PlanGenerator (class in pyanno4rt.plan) (class in pyanno4rt.plan._plan_generator) poly_decision_function() (in module pyanno4rt.learning_model.frequentist.additional_files) (in module pyanno4rt.learning_model.frequentist.additional_files._support_vector_machine_decision_functions) poly_decision_gradient() (in module pyanno4rt.learning_model.frequentist.additional_files) (in module pyanno4rt.learning_model.frequentist.additional_files._support_vector_machine_decision_functions) position() (pyanno4rt.gui.windows._info_window.InfoWindow method) (pyanno4rt.gui.windows._log_window.LogWindow method) (pyanno4rt.gui.windows._plan_creation_window.PlanCreationWindow method) (pyanno4rt.gui.windows._settings_window.SettingsWindow method) (pyanno4rt.gui.windows._text_window.TextWindow method) (pyanno4rt.gui.windows._tree_window.TreeWindow method) (pyanno4rt.gui.windows.InfoWindow method) (pyanno4rt.gui.windows.LogWindow method) (pyanno4rt.gui.windows.PlanCreationWindow method) (pyanno4rt.gui.windows.SettingsWindow method) (pyanno4rt.gui.windows.TextWindow method) (pyanno4rt.gui.windows.TreeWindow method) precompute() (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator method) (pyanno4rt.learning_model.features.FeatureCalculator method) predict() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method) predict_oof() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method) prediction_model (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.frequentist.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel attribute) preprocess() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method) preprocessor (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.frequentist.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel attribute) problem (pyanno4rt.optimization.solvers._pymoo_solver.PymooSolver attribute) (pyanno4rt.optimization.solvers.PymooSolver attribute) problem_instance (pyanno4rt.optimization.solvers.configurations._configure_pymoo.PymooProblem attribute) process_feature_history() (pyanno4rt.learning_model._data_model_handler.DataModelHandler method) (pyanno4rt.learning_model.DataModelHandler method) projection_map (in module pyanno4rt.optimization.projections) (in module pyanno4rt.optimization.projections._projection_map) ProxminSolver (class in pyanno4rt.optimization.solvers) (class in pyanno4rt.optimization.solvers._proxmin_solver) PRScore (class in pyanno4rt.learning_model.evaluation.metrics) (class in pyanno4rt.learning_model.evaluation.metrics._pr_score) pyanno4rt module pyanno4rt.base module pyanno4rt.base._treatment_plan module pyanno4rt.datahub module pyanno4rt.datahub._datahub module pyanno4rt.dose_info module pyanno4rt.dose_info._dose_info_generator module pyanno4rt.evaluation module pyanno4rt.evaluation._dosimetrics_evaluator module pyanno4rt.evaluation._dvh_evaluator module pyanno4rt.gui module pyanno4rt.gui._gui module pyanno4rt.gui.custom_widgets module pyanno4rt.gui.custom_widgets._dvh_widget module pyanno4rt.gui.custom_widgets._slice_widget module pyanno4rt.gui.windows module pyanno4rt.gui.windows._info_window module pyanno4rt.gui.windows._log_window module pyanno4rt.gui.windows._main_window module pyanno4rt.gui.windows._plan_creation_window module pyanno4rt.gui.windows._settings_window module pyanno4rt.gui.windows._text_window module pyanno4rt.gui.windows._tree_window module pyanno4rt.input_check module pyanno4rt.input_check._input_checker module pyanno4rt.input_check.check_functions module pyanno4rt.input_check.check_functions._check_components module pyanno4rt.input_check.check_functions._check_dose_matrix module pyanno4rt.input_check.check_functions._check_feature_filter module pyanno4rt.input_check.check_functions._check_key_in_dict module pyanno4rt.input_check.check_functions._check_length module pyanno4rt.input_check.check_functions._check_path module pyanno4rt.input_check.check_functions._check_regular_extension module pyanno4rt.input_check.check_functions._check_regular_extension_directory module pyanno4rt.input_check.check_functions._check_subtype module pyanno4rt.input_check.check_functions._check_type module pyanno4rt.input_check.check_functions._check_value module pyanno4rt.input_check.check_functions._check_value_in_set module pyanno4rt.input_check.check_maps module pyanno4rt.input_check.check_maps._component_map module pyanno4rt.input_check.check_maps._configuration_map module pyanno4rt.input_check.check_maps._evaluation_map module pyanno4rt.input_check.check_maps._model_display_map module pyanno4rt.input_check.check_maps._model_map module pyanno4rt.input_check.check_maps._optimization_map module pyanno4rt.input_check.check_maps._top_level_map module pyanno4rt.input_check.check_maps._tune_space_map module pyanno4rt.learning_model module pyanno4rt.learning_model._data_model_handler module pyanno4rt.learning_model.dataset module pyanno4rt.learning_model.dataset._tabular_data_generator module pyanno4rt.learning_model.evaluation module pyanno4rt.learning_model.evaluation._model_evaluator module pyanno4rt.learning_model.evaluation.metrics module pyanno4rt.learning_model.evaluation.metrics._f1_score module pyanno4rt.learning_model.evaluation.metrics._model_kpi module pyanno4rt.learning_model.evaluation.metrics._pr_score module pyanno4rt.learning_model.evaluation.metrics._roc_score module pyanno4rt.learning_model.features module pyanno4rt.learning_model.features._feature_calculator module pyanno4rt.learning_model.features._feature_map_generator module pyanno4rt.learning_model.features.catalogue module pyanno4rt.learning_model.features.catalogue._dose_deviation module pyanno4rt.learning_model.features.catalogue._dose_dx module pyanno4rt.learning_model.features.catalogue._dose_energy module pyanno4rt.learning_model.features.catalogue._dose_entropy module pyanno4rt.learning_model.features.catalogue._dose_gradient module pyanno4rt.learning_model.features.catalogue._dose_kurtosis module pyanno4rt.learning_model.features.catalogue._dose_maximum module pyanno4rt.learning_model.features.catalogue._dose_mean module

pyanno4rt.learning_model.features.catalogue._dose_minimum module pyanno4rt.learning_model.features.catalogue._dose_moment module pyanno4rt.learning_model.features.catalogue._dose_nvoxels module pyanno4rt.learning_model.features.catalogue._dose_skewness module pyanno4rt.learning_model.features.catalogue._dose_subvolume module pyanno4rt.learning_model.features.catalogue._dose_vx module pyanno4rt.learning_model.features.catalogue._feature_class module pyanno4rt.learning_model.features.catalogue._patient_age module pyanno4rt.learning_model.features.catalogue._patient_daysafterrt module pyanno4rt.learning_model.features.catalogue._patient_sex module pyanno4rt.learning_model.features.catalogue._segment_area module pyanno4rt.learning_model.features.catalogue._segment_compactness module pyanno4rt.learning_model.features.catalogue._segment_density module pyanno4rt.learning_model.features.catalogue._segment_eccentricity module pyanno4rt.learning_model.features.catalogue._segment_eigenmax module pyanno4rt.learning_model.features.catalogue._segment_eigenmid module pyanno4rt.learning_model.features.catalogue._segment_eigenmin module pyanno4rt.learning_model.features.catalogue._segment_eigenvalues module pyanno4rt.learning_model.features.catalogue._segment_sphericity module pyanno4rt.learning_model.features.catalogue._segment_volume module pyanno4rt.learning_model.frequentist module pyanno4rt.learning_model.frequentist._decision_tree module pyanno4rt.learning_model.frequentist._k_nearest_neighbors module pyanno4rt.learning_model.frequentist._logistic_regression module pyanno4rt.learning_model.frequentist._naive_bayes module pyanno4rt.learning_model.frequentist._neural_network module pyanno4rt.learning_model.frequentist._random_forest module pyanno4rt.learning_model.frequentist._support_vector_machine module pyanno4rt.learning_model.frequentist.additional_files module pyanno4rt.learning_model.frequentist.additional_files._neural_network_architectures module pyanno4rt.learning_model.frequentist.additional_files._neural_network_losses module pyanno4rt.learning_model.frequentist.additional_files._neural_network_optimizers module pyanno4rt.learning_model.frequentist.additional_files._support_vector_machine_decision_functions module pyanno4rt.learning_model.inspection module pyanno4rt.learning_model.inspection._model_inspector module pyanno4rt.learning_model.inspection.inspections module pyanno4rt.learning_model.inspection.inspections._permutation_importance module pyanno4rt.learning_model.losses module pyanno4rt.learning_model.losses._brier_loss module pyanno4rt.learning_model.losses._log_loss module pyanno4rt.learning_model.preprocessing module pyanno4rt.learning_model.preprocessing._data_preprocessor module pyanno4rt.learning_model.preprocessing.cleaners module pyanno4rt.learning_model.preprocessing.reducers module pyanno4rt.learning_model.preprocessing.samplers module pyanno4rt.learning_model.preprocessing.transformers module pyanno4rt.learning_model.preprocessing.transformers._equalizer module pyanno4rt.learning_model.preprocessing.transformers._standard_scaler module pyanno4rt.learning_model.preprocessing.transformers._whitening module pyanno4rt.logging module pyanno4rt.logging._logger module pyanno4rt.optimization module pyanno4rt.optimization._fluence_optimizer module pyanno4rt.optimization.components module pyanno4rt.optimization.components._component_map module pyanno4rt.optimization.components._conventional_component_class module pyanno4rt.optimization.components._decision_tree_ntcp module pyanno4rt.optimization.components._decision_tree_tcp module pyanno4rt.optimization.components._dose_uniformity module pyanno4rt.optimization.components._equivalent_uniform_dose module pyanno4rt.optimization.components._k_nearest_neighbors_ntcp module pyanno4rt.optimization.components._k_nearest_neighbors_tcp module pyanno4rt.optimization.components._logistic_regression_ntcp module pyanno4rt.optimization.components._logistic_regression_tcp module pyanno4rt.optimization.components._lq_poisson_tcp module pyanno4rt.optimization.components._lyman_kutcher_burman_ntcp module pyanno4rt.optimization.components._machine_learning_component_class module pyanno4rt.optimization.components._maximum_dvh module pyanno4rt.optimization.components._mean_dose module pyanno4rt.optimization.components._minimum_dvh module pyanno4rt.optimization.components._naive_bayes_ntcp module pyanno4rt.optimization.components._naive_bayes_tcp module pyanno4rt.optimization.components._neural_network_ntcp module pyanno4rt.optimization.components._neural_network_tcp module pyanno4rt.optimization.components._radiobiology_component_class module pyanno4rt.optimization.components._random_forest_ntcp module pyanno4rt.optimization.components._random_forest_tcp module pyanno4rt.optimization.components._squared_deviation module pyanno4rt.optimization.components._squared_overdosing module pyanno4rt.optimization.components._squared_underdosing module pyanno4rt.optimization.components._support_vector_machine_ntcp module pyanno4rt.optimization.components._support_vector_machine_tcp module pyanno4rt.optimization.initializers module pyanno4rt.optimization.initializers._fluence_initializer module pyanno4rt.optimization.methods module pyanno4rt.optimization.methods._lexicographic_optimization module pyanno4rt.optimization.methods._method_map module pyanno4rt.optimization.methods._pareto_optimization module pyanno4rt.optimization.methods._weighted_sum_optimization module pyanno4rt.optimization.projections module pyanno4rt.optimization.projections._backprojection module pyanno4rt.optimization.projections._constant_rbe_projection module pyanno4rt.optimization.projections._dose_projection module pyanno4rt.optimization.projections._projection_map module pyanno4rt.optimization.solvers module pyanno4rt.optimization.solvers._proxmin_solver module pyanno4rt.optimization.solvers._pyanno4rt_solver module pyanno4rt.optimization.solvers._pymoo_solver module pyanno4rt.optimization.solvers._pypop7_solver module pyanno4rt.optimization.solvers._scipy_solver module pyanno4rt.optimization.solvers._solver_map module pyanno4rt.optimization.solvers.configurations module pyanno4rt.optimization.solvers.configurations._configure_proxmin module pyanno4rt.optimization.solvers.configurations._configure_pyanno4rt module pyanno4rt.optimization.solvers.configurations._configure_pymoo module pyanno4rt.optimization.solvers.configurations._configure_pypop7 module pyanno4rt.optimization.solvers.configurations._configure_scipy module pyanno4rt.optimization.solvers.internals module pyanno4rt.patient module pyanno4rt.patient._patient_loader module pyanno4rt.patient.import_functions module pyanno4rt.patient.import_functions._generate_ct_from_dcm module pyanno4rt.patient.import_functions._generate_ct_from_mat module pyanno4rt.patient.import_functions._generate_ct_from_p module pyanno4rt.patient.import_functions._generate_segmentation_from_dcm module pyanno4rt.patient.import_functions._generate_segmentation_from_mat module pyanno4rt.patient.import_functions._generate_segmentation_from_p module pyanno4rt.patient.import_functions._import_from_dcm module pyanno4rt.patient.import_functions._import_from_mat module pyanno4rt.patient.import_functions._import_from_p module pyanno4rt.patient.import_functions._read_data_from_dcm module pyanno4rt.patient.import_functions._read_data_from_mat module pyanno4rt.patient.import_functions._read_data_from_p module pyanno4rt.plan module pyanno4rt.plan._plan_generator module pyanno4rt.tools module pyanno4rt.tools._add_square_brackets module pyanno4rt.tools._apply module pyanno4rt.tools._arange_with_endpoint module pyanno4rt.tools._copycat module pyanno4rt.tools._custom_round module pyanno4rt.tools._deduplicate module pyanno4rt.tools._flatten module pyanno4rt.tools._get_all_constraints module pyanno4rt.tools._get_all_objectives module pyanno4rt.tools._get_constraint_segments module pyanno4rt.tools._get_conventional_constraints module pyanno4rt.tools._get_conventional_objectives module pyanno4rt.tools._get_machine_learning_constraints module pyanno4rt.tools._get_machine_learning_objectives module pyanno4rt.tools._get_objective_segments module pyanno4rt.tools._get_radiobiology_constraints module pyanno4rt.tools._get_radiobiology_objectives module pyanno4rt.tools._identity module pyanno4rt.tools._inverse_sigmoid module pyanno4rt.tools._load_list_from_file module pyanno4rt.tools._monotonic module pyanno4rt.tools._non_decreasing module pyanno4rt.tools._non_increasing module pyanno4rt.tools._replace_nan module pyanno4rt.tools._sigmoid module pyanno4rt.tools._snapshot module pyanno4rt.visualization module pyanno4rt.visualization._visualizer module pyanno4rt.visualization.visuals module pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt module pyanno4rt.visualization.visuals._dosimetrics_table_plotter_mpl module pyanno4rt.visualization.visuals._dvh_graph_plotter_mpl module pyanno4rt.visualization.visuals._feature_select_window_pyqt module pyanno4rt.visualization.visuals._iter_graph_plotter_mpl module pyanno4rt.visualization.visuals._metrics_graphs_plotter_mpl module pyanno4rt.visualization.visuals._metrics_tables_plotter_mpl module pyanno4rt.visualization.visuals._ntcp_graph_plotter_mpl module pyanno4rt.visualization.visuals._permutation_importance_plotter_mpl module Pyanno4rtSolver (class in pyanno4rt.optimization.solvers) (class in pyanno4rt.optimization.solvers._pyanno4rt_solver) pyfunction() (pyanno4rt.learning_model.features.catalogue._dose_dx.DoseDx static method) (pyanno4rt.learning_model.features.catalogue.DoseDx static method) PymooProblem (class in pyanno4rt.optimization.solvers.configurations._configure_pymoo) PymooSolver (class in pyanno4rt.optimization.solvers) (class in pyanno4rt.optimization.solvers._pymoo_solver) PyPop7Solver (class in pyanno4rt.optimization.solvers) (class in pyanno4rt.optimization.solvers._pypop7_solver)

R

RadiobiologyComponentClass (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._radiobiology_component_class) RadiomicFeature (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._feature_class) radiomics (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator attribute) (pyanno4rt.learning_model.features.FeatureCalculator attribute) RandomForestModel (class in pyanno4rt.learning_model.frequentist) (class in pyanno4rt.learning_model.frequentist._random_forest) RandomForestNTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._random_forest_ntcp) RandomForestTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._random_forest_tcp) rbf_decision_function() (in module pyanno4rt.learning_model.frequentist.additional_files) (in module pyanno4rt.learning_model.frequentist.additional_files._support_vector_machine_decision_functions) rbf_decision_gradient() (in module pyanno4rt.learning_model.frequentist.additional_files) (in module pyanno4rt.learning_model.frequentist.additional_files._support_vector_machine_decision_functions) read_configuration_from_file() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method) read_data_from_dcm() (in module pyanno4rt.patient.import_functions) (in module pyanno4rt.patient.import_functions._read_data_from_dcm) read_data_from_mat() (in module pyanno4rt.patient.import_functions) (in module pyanno4rt.patient.import_functions._read_data_from_mat) read_data_from_p() (in module pyanno4rt.patient.import_functions) (in module pyanno4rt.patient.import_functions._read_data_from_p) read_hyperparameters_from_file() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method) read_model_from_file() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method)

reference_dose (pyanno4rt.evaluation._dosimetrics_evaluator.DosimetricsEvaluator attribute) (pyanno4rt.evaluation.DosimetricsEvaluator attribute) reference_volume (pyanno4rt.evaluation._dosimetrics_evaluator.DosimetricsEvaluator attribute) (pyanno4rt.evaluation.DosimetricsEvaluator attribute) remove_component() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) remove_overlap() (pyanno4rt.optimization._fluence_optimizer.FluenceOptimizer static method) (pyanno4rt.optimization.FluenceOptimizer static method) replace_nan() (in module pyanno4rt.tools) (in module pyanno4rt.tools._replace_nan) reset() (pyanno4rt.gui.windows._settings_window.SettingsWindow method) (pyanno4rt.gui.windows.SettingsWindow method) reset_button (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.ScrollBar attribute) reset_dvh() (pyanno4rt.gui.custom_widgets._dvh_widget.DVHWidget method) (pyanno4rt.gui.custom_widgets.DVHWidget method) reset_images() (pyanno4rt.gui.custom_widgets._slice_widget.SliceWidget method) (pyanno4rt.gui.custom_widgets.SliceWidget method) reset_scroll_position() (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget method) resize_segments_to_dose() (pyanno4rt.optimization._fluence_optimizer.FluenceOptimizer static method) (pyanno4rt.optimization.FluenceOptimizer static method) RETURNS_OUTCOME (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass attribute) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components.ConventionalComponentClass attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.RadiobiologyComponentClass attribute) ROCScore (class in pyanno4rt.learning_model.evaluation.metrics) (class in pyanno4rt.learning_model.evaluation.metrics._roc_score) run() (pyanno4rt.optimization.solvers._proxmin_solver.ProxminSolver method) (pyanno4rt.optimization.solvers._pyanno4rt_solver.Pyanno4rtSolver method) (pyanno4rt.optimization.solvers._pymoo_solver.PymooSolver method) (pyanno4rt.optimization.solvers._pypop7_solver.PyPop7Solver method) (pyanno4rt.optimization.solvers._scipy_solver.SciPySolver method) (pyanno4rt.optimization.solvers.ProxminSolver method) (pyanno4rt.optimization.solvers.Pyanno4rtSolver method) (pyanno4rt.optimization.solvers.PymooSolver method) (pyanno4rt.optimization.solvers.PyPop7Solver method) (pyanno4rt.optimization.solvers.SciPySolver method)

S

save_apply_close() (pyanno4rt.gui.windows._settings_window.SettingsWindow method) (pyanno4rt.gui.windows.SettingsWindow method) save_tpi() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) scale (pyanno4rt.learning_model.preprocessing.transformers._standard_scaler.StandardScaler attribute) (pyanno4rt.learning_model.preprocessing.transformers.StandardScaler attribute) SciPySolver (class in pyanno4rt.optimization.solvers) (class in pyanno4rt.optimization.solvers._scipy_solver) score() (pyanno4rt.learning_model.inspection.inspections._permutation_importance.PermutationImportance method) (pyanno4rt.learning_model.inspection.inspections.PermutationImportance method) ScrollBar (class in pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt) scrollbar (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget attribute) segment_contours (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget attribute) segment_masks (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget attribute) SegmentArea (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._segment_area) segmentation (pyanno4rt.datahub._datahub.Datahub attribute), [1] (pyanno4rt.datahub.Datahub attribute), [1] SegmentCompactness (class in pyanno4rt.learning_model.features.catalogue._segment_compactness) SegmentDensity (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._segment_density) SegmentEccentricity (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._segment_eccentricity) SegmentEigenmax (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._segment_eigenmax) SegmentEigenmid (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._segment_eigenmid) SegmentEigenmin (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._segment_eigenmin) SegmentEigenvalues (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._segment_eigenvalues) SegmentSphericity (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._segment_sphericity) SegmentVolume (class in pyanno4rt.learning_model.features.catalogue) (class in pyanno4rt.learning_model.features.catalogue._segment_volume) select_dvh_curve() (pyanno4rt.gui.custom_widgets._dvh_widget.DVHWidget method) (pyanno4rt.gui.custom_widgets.DVHWidget method) select_plan() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) selector (in module _custom_styles) set_configuration() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) set_disabled() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) set_enabled() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) set_evaluation() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) set_fields() (pyanno4rt.gui.windows._settings_window.SettingsWindow method) (pyanno4rt.gui.windows.SettingsWindow method) set_file_paths() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method) set_initial_plan() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) set_intercept_value() (pyanno4rt.optimization.components._logistic_regression_ntcp.LogisticRegressionNTCP method) (pyanno4rt.optimization.components._logistic_regression_tcp.LogisticRegressionTCP method) (pyanno4rt.optimization.components.LogisticRegressionNTCP method) (pyanno4rt.optimization.components.LogisticRegressionTCP method)

set_label() (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.ScrollBar method) set_optimization() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) set_optimization_components() (pyanno4rt.optimization._fluence_optimizer.FluenceOptimizer static method) (pyanno4rt.optimization.FluenceOptimizer static method) set_parameter_value() (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass method) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass method) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass method) (pyanno4rt.optimization.components.ConventionalComponentClass method) (pyanno4rt.optimization.components.MachineLearningComponentClass method) (pyanno4rt.optimization.components.RadiobiologyComponentClass method) set_scroll_to_zero() (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget method) set_styles() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) set_weight_value() (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass method) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass method) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass method) (pyanno4rt.optimization.components.ConventionalComponentClass method) (pyanno4rt.optimization.components.MachineLearningComponentClass method) (pyanno4rt.optimization.components.RadiobiologyComponentClass method) set_zero_button (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.ScrollBar attribute) set_zero_line_cursor() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) SettingsWindow (class in pyanno4rt.gui.windows) (class in pyanno4rt.gui.windows._settings_window) show_item_text() (pyanno4rt.gui.windows._tree_window.TreeWindow method) (pyanno4rt.gui.windows.TreeWindow method) sigmoid() (in module pyanno4rt.learning_model.features.catalogue._dose_energy) (in module pyanno4rt.learning_model.features.catalogue._dose_entropy) (in module pyanno4rt.tools) (in module pyanno4rt.tools._sigmoid) sigmoid_decision_function() (in module pyanno4rt.learning_model.frequentist.additional_files) (in module pyanno4rt.learning_model.frequentist.additional_files._support_vector_machine_decision_functions) sigmoid_decision_gradient() (in module pyanno4rt.learning_model.frequentist.additional_files) (in module pyanno4rt.learning_model.frequentist.additional_files._support_vector_machine_decision_functions) slice_number (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.ScrollBar attribute) SliceWidget (class in pyanno4rt.gui.custom_widgets) (class in pyanno4rt.gui.custom_widgets._slice_widget) (class in pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt) slider (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.ScrollBar attribute) snapshot() (in module pyanno4rt.tools) (in module pyanno4rt.tools._snapshot) solve() (pyanno4rt.optimization._fluence_optimizer.FluenceOptimizer method) (pyanno4rt.optimization.FluenceOptimizer method) solver_map (in module pyanno4rt.optimization.solvers) (in module pyanno4rt.optimization.solvers._solver_map) SquaredDeviation (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._squared_deviation) SquaredOverdosing (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._squared_overdosing) SquaredUnderdosing (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._squared_underdosing) StandardScaler (class in pyanno4rt.learning_model.preprocessing.transformers) (class in pyanno4rt.learning_model.preprocessing.transformers._standard_scaler) start_autoplay() (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget method) start_button (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.ScrollBar attribute) steps (pyanno4rt.learning_model.preprocessing._data_preprocessor.DataPreprocessor attribute) (pyanno4rt.learning_model.preprocessing.DataPreprocessor attribute) SupportVectorMachineModel (class in pyanno4rt.learning_model.frequentist) (class in pyanno4rt.learning_model.frequentist._support_vector_machine) SupportVectorMachineNTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._support_vector_machine_ntcp) SupportVectorMachineTCP (class in pyanno4rt.optimization.components) (class in pyanno4rt.optimization.components._support_vector_machine_tcp)

T

tab (in module _custom_styles) table (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget attribute) TabularDataGenerator (class in pyanno4rt.learning_model.dataset) (class in pyanno4rt.learning_model.dataset._tabular_data_generator) target_imaging_resolution (pyanno4rt.patient._patient_loader.PatientLoader attribute) (pyanno4rt.patient.PatientLoader attribute) tbutton_composer (in module _custom_styles) tbutton_workflow (in module _custom_styles) termination (pyanno4rt.optimization.solvers._pymoo_solver.PymooSolver attribute) (pyanno4rt.optimization.solvers.PymooSolver attribute) TextWindow (class in pyanno4rt.gui.windows) (class in pyanno4rt.gui.windows._text_window) time_variable_name (pyanno4rt.learning_model.dataset._tabular_data_generator.TabularDataGenerator attribute) (pyanno4rt.learning_model.dataset.TabularDataGenerator attribute) timer (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget attribute) top_level_map (in module pyanno4rt.input_check.check_maps) (in module pyanno4rt.input_check.check_maps._top_level_map) tracker (pyanno4rt.optimization.methods._lexicographic_optimization.LexicographicOptimization attribute) (pyanno4rt.optimization.methods._weighted_sum_optimization.WeightedSumOptimization attribute) (pyanno4rt.optimization.methods.LexicographicOptimization attribute) (pyanno4rt.optimization.methods.WeightedSumOptimization attribute) train() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method) training_prediction (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.frequentist.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel attribute)

transform() (pyanno4rt.learning_model.preprocessing._data_preprocessor.DataPreprocessor method) (pyanno4rt.learning_model.preprocessing.DataPreprocessor method) (pyanno4rt.learning_model.preprocessing.transformers._equalizer.Equalizer method) (pyanno4rt.learning_model.preprocessing.transformers._standard_scaler.StandardScaler method) (pyanno4rt.learning_model.preprocessing.transformers._whitening.Whitening method) (pyanno4rt.learning_model.preprocessing.transformers.Equalizer method) (pyanno4rt.learning_model.preprocessing.transformers.StandardScaler method) (pyanno4rt.learning_model.preprocessing.transformers.Whitening method) transform_configuration_to_dict() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) transform_evaluation_to_dict() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) transform_optimization_to_dict() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) TreatmentPlan (class in pyanno4rt.base) (class in pyanno4rt.base._treatment_plan) TreeWindow (class in pyanno4rt.gui.windows) (class in pyanno4rt.gui.windows._tree_window) true_labels (pyanno4rt.learning_model.evaluation._model_evaluator.ModelEvaluator attribute) (pyanno4rt.learning_model.evaluation.metrics._f1_score.F1Score attribute) (pyanno4rt.learning_model.evaluation.metrics._model_kpi.ModelKPI attribute) (pyanno4rt.learning_model.evaluation.metrics._pr_score.PRScore attribute) (pyanno4rt.learning_model.evaluation.metrics._roc_score.ROCScore attribute) (pyanno4rt.learning_model.evaluation.metrics.F1Score attribute) (pyanno4rt.learning_model.evaluation.metrics.ModelKPI attribute) (pyanno4rt.learning_model.evaluation.metrics.PRScore attribute) (pyanno4rt.learning_model.evaluation.metrics.ROCScore attribute) (pyanno4rt.learning_model.evaluation.ModelEvaluator attribute) tune_hyperparameters_with_bayes() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method) tune_space_map (in module pyanno4rt.input_check.check_maps) (in module pyanno4rt.input_check.check_maps._tune_space_map)

U

update() (pyanno4rt.base._treatment_plan.TreatmentPlan method) (pyanno4rt.base.TreatmentPlan method) update_by_initial_fluence() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) update_by_initial_strategy() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) update_by_method() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) update_by_new_plan_label() (pyanno4rt.gui.windows._plan_creation_window.PlanCreationWindow method) (pyanno4rt.gui.windows.PlanCreationWindow method) update_by_new_plan_reference() (pyanno4rt.gui.windows._plan_creation_window.PlanCreationWindow method) (pyanno4rt.gui.windows.PlanCreationWindow method) update_by_plan_label() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) update_by_reference() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) update_by_solver() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) update_combo_box_feature() (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget method) update_configuration() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) update_crosshair() (pyanno4rt.gui.custom_widgets._dvh_widget.DVHWidget method) (pyanno4rt.gui.custom_widgets.DVHWidget method) (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget method) update_dvh() (pyanno4rt.gui.custom_widgets._dvh_widget.DVHWidget method) (pyanno4rt.gui.custom_widgets.DVHWidget method)

update_evaluation() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) update_images() (pyanno4rt.gui.custom_widgets._slice_widget.SliceWidget method) (pyanno4rt.gui.custom_widgets.SliceWidget method) (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.SliceWidget method) update_log_output() (pyanno4rt.gui.windows._log_window.LogWindow method) (pyanno4rt.gui.windows.LogWindow method) update_optimization() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) update_plot() (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget method) update_reference_plans() (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) update_table() (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget method) updated_model (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel attribute) (pyanno4rt.learning_model.frequentist.DecisionTreeModel attribute) (pyanno4rt.learning_model.frequentist.KNeighborsModel attribute) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel attribute) (pyanno4rt.learning_model.frequentist.NaiveBayesModel attribute) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel attribute) (pyanno4rt.learning_model.frequentist.RandomForestModel attribute) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel attribute)

V

value_function (pyanno4rt.learning_model.features.catalogue._feature_class.DosiomicFeature attribute) (pyanno4rt.learning_model.features.catalogue.DosiomicFeature attribute) value_is_jitted (pyanno4rt.learning_model.features.catalogue._feature_class.DosiomicFeature attribute) (pyanno4rt.learning_model.features.catalogue.DosiomicFeature attribute) vertical_line (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureWidget attribute) view() (pyanno4rt.visualization.visuals._ct_dose_slicing_window_pyqt.CtDoseSlicingWindowPyQt method) (pyanno4rt.visualization.visuals._dosimetrics_table_plotter_mpl.DosimetricsTablePlotterMPL method) (pyanno4rt.visualization.visuals._dvh_graph_plotter_mpl.DVHGraphPlotterMPL method) (pyanno4rt.visualization.visuals._feature_select_window_pyqt.FeatureSelectWindowPyQt method) (pyanno4rt.visualization.visuals._iter_graph_plotter_mpl.IterGraphPlotterMPL method) (pyanno4rt.visualization.visuals._metrics_graphs_plotter_mpl.MetricsGraphsPlotterMPL method) (pyanno4rt.visualization.visuals._metrics_tables_plotter_mpl.MetricsTablesPlotterMPL method) (pyanno4rt.visualization.visuals._ntcp_graph_plotter_mpl.NTCPGraphPlotterMPL method) (pyanno4rt.visualization.visuals._permutation_importance_plotter_mpl.PermutationImportancePlotterMPL method) (pyanno4rt.visualization.visuals.CtDoseSlicingWindowPyQt method) (pyanno4rt.visualization.visuals.DosimetricsTablePlotterMPL method) (pyanno4rt.visualization.visuals.DVHGraphPlotterMPL method) (pyanno4rt.visualization.visuals.FeatureSelectWindowPyQt method) (pyanno4rt.visualization.visuals.IterGraphPlotterMPL method) (pyanno4rt.visualization.visuals.MetricsGraphsPlotterMPL method) (pyanno4rt.visualization.visuals.MetricsTablesPlotterMPL method) (pyanno4rt.visualization.visuals.NTCPGraphPlotterMPL method) (pyanno4rt.visualization.visuals.PermutationImportancePlotterMPL method)

visualize() (pyanno4rt.base._treatment_plan.TreatmentPlan method) (pyanno4rt.base.TreatmentPlan method) (pyanno4rt.gui.windows._main_window.MainWindow method) (pyanno4rt.gui.windows.MainWindow method) Visualizer (class in pyanno4rt.visualization) (class in pyanno4rt.visualization._visualizer) visualizer (pyanno4rt.base._treatment_plan.TreatmentPlan attribute) (pyanno4rt.base.TreatmentPlan attribute)

W

weight (pyanno4rt.optimization.components._conventional_component_class.ConventionalComponentClass attribute) (pyanno4rt.optimization.components._machine_learning_component_class.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components._radiobiology_component_class.RadiobiologyComponentClass attribute) (pyanno4rt.optimization.components.ConventionalComponentClass attribute) (pyanno4rt.optimization.components.MachineLearningComponentClass attribute) (pyanno4rt.optimization.components.RadiobiologyComponentClass attribute) WeightedSumOptimization (class in pyanno4rt.optimization.methods) (class in pyanno4rt.optimization.methods._weighted_sum_optimization) Whitening (class in pyanno4rt.learning_model.preprocessing.transformers) (class in pyanno4rt.learning_model.preprocessing.transformers._whitening) write_configuration_to_file() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method) write_features (pyanno4rt.learning_model._data_model_handler.DataModelHandler attribute) (pyanno4rt.learning_model.DataModelHandler attribute) (pyanno4rt.learning_model.features._feature_calculator.FeatureCalculator attribute) (pyanno4rt.learning_model.features.FeatureCalculator attribute)

write_hyperparameters_to_file() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method) write_model_to_file() (pyanno4rt.learning_model.frequentist._decision_tree.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist._k_nearest_neighbors.KNeighborsModel method) (pyanno4rt.learning_model.frequentist._logistic_regression.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist._naive_bayes.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist._neural_network.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist._random_forest.RandomForestModel method) (pyanno4rt.learning_model.frequentist._support_vector_machine.SupportVectorMachineModel method) (pyanno4rt.learning_model.frequentist.DecisionTreeModel method) (pyanno4rt.learning_model.frequentist.KNeighborsModel method) (pyanno4rt.learning_model.frequentist.LogisticRegressionModel method) (pyanno4rt.learning_model.frequentist.NaiveBayesModel method) (pyanno4rt.learning_model.frequentist.NeuralNetworkModel method) (pyanno4rt.learning_model.frequentist.RandomForestModel method) (pyanno4rt.learning_model.frequentist.SupportVectorMachineModel method)