pyanno4rt.learning_model.features._feature_map_generator

Feature map generation.

Overview

Classes

FeatureMapGenerator

Feature map generation class.

Classes

class pyanno4rt.learning_model.features._feature_map_generator.FeatureMapGenerator(model_label, fuzzy_matching)

Feature map generation class.

This class provides a mapping between the features from the data set, the structures from the segmentation, and the definitions from the feature catalogue. Matching is based on fuzzy or exact string matching.

Parameters:

fuzzy_matching (bool) – Indicator for the use of fuzzy string matching (if ‘False’, exact string matching is applied).

fuzzy_matching

See ‘Parameters’.

Type:

bool

feature_map

Dictionary with information on the mapping of features in the dataset with the segmented structures and their computation/differentiation functions.

Type:

dict

Notes

In the current implementation, string matching works best if:

• names from segments in the segmentation do not have any special characters except “_” (which will automatically be removed before matching);

• feature names follow the scheme <name of the segment> _<name of the feature in the catalogue>_<optional parameters>, e.g. “parotidLeft_doseMean” (mean dose to the left parotid) or “parotidRight_doseGradient_x” (dose gradient in x-direction for the right parotid).

Overview

Methods

generate(data_information)

Generate the feature map by fuzzy or exact string matching.

Members

generate(data_information)

Generate the feature map by fuzzy or exact string matching.

Parameters:

...

Returns:

feature_map – Dictionary with information on the mapping of features in the dataset with the segmented structures and their computation/differentiation functions.

Return type:

dict