Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
Describe the bug
When calculating the radiomics features, I expect to get multiple values for the glrm and glcm features as they are directional dependent (13 directions + mean). When I run the code below, I don't get any errors but the glrm and glcm features only contain 1 value instead of 14 (or 13?). What am I doing wrong?
Describe the bug When calculating the radiomics features, I expect to get multiple values for the glrm and glcm features as they are directional dependent (13 directions + mean). When I run the code below, I don't get any errors but the glrm and glcm features only contain 1 value instead of 14 (or 13?). What am I doing wrong?
PyRadiomics configuration setting: binWidth: 13 label: 1 normalize: True interpolator: 'sitkBSpline' resampledPixelSpacing: weightingNorm:
imageType: Original: {}
featureClass: shape: firstorder: glcm: ngtdm: glrlm: glszm: gldm:
To Reproduce
from radiomics import featureextractor
image_file_path = ...
segm_file_path = ...
extractor = featureextractor.RadiomicsFeatureExtractor(param_file)
result = extractor.execute(image_file_path, segm_file_path)
Version (please complete the following information):