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
For calculating GLSZM, I have doubt regarding i in formulas.
Foreground of 2 images have 9 rows and 5 columns. In one image, first 3 rows are all zero and last 6 rows are all 150. In second image, first 3 rows are all zero and last 6 rows are all 100. What will be i for each of them?
My calculated values does not match with output of code for following features:
original_glszm_GrayLevelVariance
original_glszm_HighGrayLevelZoneEmphasis
original_glszm_LargeAreaHighGrayLevelEmphasis
original_glszm_LargeAreaLowGrayLevelEmphasis
original_glszm_LowGrayLevelZoneEmphasis
original_glszm_SmallAreaHighGrayLevelEmphasis
original_glszm_SmallAreaLowGrayLevelEmphasis
I must have done some mistake. But I cannot understand where I am going wrong. Please help.
For calculating GLSZM, I have doubt regarding i in formulas.
Foreground of 2 images have 9 rows and 5 columns. In one image, first 3 rows are all zero and last 6 rows are all 150. In second image, first 3 rows are all zero and last 6 rows are all 100. What will be i for each of them?
My calculated values does not match with output of code for following features: original_glszm_GrayLevelVariance original_glszm_HighGrayLevelZoneEmphasis original_glszm_LargeAreaHighGrayLevelEmphasis original_glszm_LargeAreaLowGrayLevelEmphasis original_glszm_LowGrayLevelZoneEmphasis original_glszm_SmallAreaHighGrayLevelEmphasis original_glszm_SmallAreaLowGrayLevelEmphasis
I must have done some mistake. But I cannot understand where I am going wrong. Please help.