pyanno4rt.visualization.visuals

Visual elements module.

The module aims to provide methods and classes to be embedded via clickable buttons in the visualization interface.

Overview

Classes
`CtDoseSlicingWindowPyQt`	CT/Dose slicing window (PyQt) class.
`DosimetricsTablePlotterMPL`	Dosimetrics table (matplotlib) class.
`DVHGraphPlotterMPL`	Dose-volume histogram plot (matplotlib) class.
`FeatureSelectWindowPyQt`	Feature selection window (PyQt) class.
`IterGraphPlotterMPL`	Iterative objective value plot (Matplotlib) class.
`MetricsGraphsPlotterMPL`	Data models metrics plot (matplotlib) class.
`MetricsTablesPlotterMPL`	Data models metrics table (matplotlib) class.
`NTCPGraphPlotterMPL`	Iterative (N)TCP value plot (matplotlib) class.
`PermutationImportancePlotterMPL`	Data models permutation importance plot (matplotlib) class.

Classes

class pyanno4rt.visualization.visuals.CtDoseSlicingWindowPyQt[source]

Bases: PyQt5.QtWidgets.QMainWindow

CT/Dose slicing window (PyQt) class.

This class provides an interactive plot of the patient’s CT/dose slices on the axial, sagittal and coronal axes, including the segment contours, dose level curves, and a scrolling and autoplay functionality.

category

Plot category for assignment to the button groups in the visual interface.

Type:: string

name

Attribute name of the classes’ instance in the visual interface.

Type:: string

label

Label of the plot button in the visual interface.

Type:: string

Overview

Methods
`view`()	Open the full-screen view on the CT/dose slicing window.

Members

view()[source]: Open the full-screen view on the CT/dose slicing window.

class pyanno4rt.visualization.visuals.DosimetricsTablePlotterMPL[source]

Dosimetrics table (matplotlib) class.

This class provides a table with dosimetric values per segment, e.g. mean dose, dose deviation, min/max dose, DVH parameters and quality indicators.

category

Plot category for assignment to the button groups in the visual interface.

Type:: string

name

Attribute name of the classes’ instance in the visual interface.

Type:: string

label

Label of the plot button in the visual interface.

Type:: string

Overview

Methods
`view`()	Open the full-screen view on the dosimetrics table.

Members

view()[source]: Open the full-screen view on the dosimetrics table.

class pyanno4rt.visualization.visuals.DVHGraphPlotterMPL[source]

Dose-volume histogram plot (matplotlib) class.

This class provides a plot with dose-volume histogram curve per segment.

category

Plot category for assignment to the button groups in the visual interface.

Type:: string

name

Attribute name of the classes’ instance in the visual interface.

Type:: string

label

Label of the plot button in the visual interface.

Type:: string

Overview

Methods
`view`()	Open the full-screen view on the dose-volume histogram.

Members

view()[source]: Open the full-screen view on the dose-volume histogram.

class pyanno4rt.visualization.visuals.FeatureSelectWindowPyQt[source]

Bases: PyQt5.QtWidgets.QMainWindow

Feature selection window (PyQt) class.

This class provides an interactive plot of the iterative feature values, including a combo box for feature selection, a graph plot with the value per iteration, and a value table as a second representation.

DATA_DEPENDENT

Indicator for the assignment to model-related plots.

Type:: bool

category

Plot category for assignment to the button groups in the visual interface.

Type:: string

name

Attribute name of the classes’ instance in the visual interface.

Type:: string

label

Label of the plot button in the visual interface.

Type:: string

Overview

Methods
`view`()	Open the full-screen view on the feature selection window.

Members

view()[source]: Open the full-screen view on the feature selection window.

class pyanno4rt.visualization.visuals.IterGraphPlotterMPL[source]

Iterative objective value plot (Matplotlib) class.

This class provides a plot with the iterative objective function values.

category

Plot category for assignment to the button groups in the visual interface.

Type:: string

name

Attribute name of the classes’ instance in the visual interface.

Type:: string

label

Label of the plot button in the visual interface.

Type:: string

Overview

Methods
`view`()	Open the full-screen view on the iterative objective value plot.

Members

view()[source]: Open the full-screen view on the iterative objective value plot.

class pyanno4rt.visualization.visuals.MetricsGraphsPlotterMPL[source]

Data models metrics plot (matplotlib) class.

This class provides metrics plots for the different data-dependent models.

DATA_DEPENDENT

Indicator for the assignment to model-related plots.

Type:: bool

category

Plot category for assignment to the button groups in the visual interface.

Type:: string

name

Attribute name of the classes’ instance in the visual interface.

Type:: string

label

Label of the plot button in the visual interface.

Type:: string

Overview

Methods
`view`()	Open the full-screen view on the metrics plot.

Members

view()[source]: Open the full-screen view on the metrics plot.

class pyanno4rt.visualization.visuals.MetricsTablesPlotterMPL[source]

Data models metrics table (matplotlib) class.

This class provides the metrics table for the different data-dependent models.

DATA_DEPENDENT

Indicator for the assignment to model-related plots.

Type:: bool

category

Plot category for assignment to the button groups in the visual interface.

Type:: string

name

Attribute name of the classes’ instance in the visual interface.

Type:: string

label

Label of the plot button in the visual interface.

Type:: string

Overview

Methods
`view`()	Open the full-screen view on the metrics table.

Members

view()[source]: Open the full-screen view on the metrics table.

class pyanno4rt.visualization.visuals.NTCPGraphPlotterMPL[source]

Iterative (N)TCP value plot (matplotlib) class.

This class provides a plot with the iterative (N)TCP values from each outcome prediction model.

category

Plot category for assignment to the button groups in the visual interface.

Type:: string

name

Attribute name of the classes’ instance in the visual interface.

Type:: string

label

Label of the plot button in the visual interface.

Type:: string

Overview

Methods
`view`()	Open the full-screen view on the iterative (N)TCP value plot.

Members

view()[source]: Open the full-screen view on the iterative (N)TCP value plot.

class pyanno4rt.visualization.visuals.PermutationImportancePlotterMPL[source]

Data models permutation importance plot (matplotlib) class.

This class provides permutation importance plots for the different data-dependent models.

DATA_DEPENDENT

Indicator for the assignment to model-related plots.

Type:: bool

category

Plot category for assignment to the button groups in the visual interface.

Type:: string

name

Attribute name of the classes’ instance in the visual interface.

Type:: string

label

Label of the plot button in the visual interface.

Type:: string

Overview

Methods
`view`()	Open the full-screen view on the permutation importance plot.

Members

view()[source]: Open the full-screen view on the permutation importance plot.