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Radiomic Features

This section contains the definitions of the various features that can be extracted using PyRadiomics. They are subdivided into the following classes:

  • radiomics-firstorder-label (19 features)
  • radiomics-shape-label (16 features)
  • radiomics-glcm-label (26 features)
  • radiomics-glszm-label (16 features)
  • radiomics-glrlm-label (16 features)
  • radiomics-ngtdm-label (5 features)
  • radiomics-gldm-label (15 features)

All feature classes, with the exception of shape can be calculated on either the original image and/or a derived image, obtained by applying one of several filters. The shape descriptors are independent of gray value, and are extracted from the label mask. If enabled, they are calculated separately of enabled input image types, and listed in the result as if calculated on the original image.

Most features defined below are in compliance with feature definitions as described by the Imaging Biomarker Standardization Initiative (IBSI), which are available in a separate document by Zwanenburg et al. (2016)1. Where features differ, a note has been added specifying the difference.

First Order Features

radiomics.firstorder

Shape Features

radiomics.shape

Gray Level Co-occurrence Matrix (GLCM) Features

radiomics.glcm

Gray Level Size Zone Matrix (GLSZM) Features

radiomics.glszm

Gray Level Run Length Matrix (GLRLM) Features

radiomics.glrlm

Neigbouring Gray Tone Difference Matrix (NGTDM) Features

radiomics.ngtdm

Gray Level Dependence Matrix (GLDM) Features

radiomics.gldm

  1. Zwanenburg, A., Leger, S., Vallières, M., and Löck, S. (2016). Image biomarker standardisation initiative - feature definitions. In eprint arXiv:1612.07003 [cs.CV]↩