GLSZM

class zrad.radiomics.glszm.GLSZM(aggr_dim, slice_weight=False, slice_median=False)

Grey level size zone matrix features.

GLSZM features describe connected zones of equal discretized grey level and their sizes. They quantify small versus large zones and low- versus high-grey-level zone patterns.

Parameters:

• aggr_dim ({"2D", "2.5D", "3D"}) – Spatial dimensionality used to define connected zones.

• slice_weight (bool, default=False) – Weight 2D slice-wise averages by slice ROI voxel count.

• slice_median (bool, default=False) – Aggregate 2D slice-wise values by median instead of mean.

Methods

calculate_features(discretized_image_array)	Calculate GLSZM features for prepared discretized intensities.
get_feature_names()	Return the GLSZM feature names produced by this calculator.
get_params()	Return the configuration parameters of this GLSZM calculator.

GLSZM.calculate_features(discretized_image_array)

Calculate GLSZM features for prepared discretized intensities.

Parameters:

discretized_image_array (numpy.ndarray) – Prepared discretized intensity array with voxels outside the ROI set to NaN.

Returns:

Mapping of GLSZM feature names to calculated values.

Return type:

dict

GLSZM.get_feature_names()

Return the GLSZM feature names produced by this calculator.

Returns:

Feature names defined for the GLSZM family.

Return type:

list of str

GLSZM.get_params()

Return the configuration parameters of this GLSZM calculator.

Returns:

Parameter names mapped to their configured values.

Return type:

dict