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
Hi, I am not sure if anyone has experienced this before. I am using pyradionomics to extract data from different ROI defined by total segmentator. However, I am getting the exact same data for the various ROI.
I have simplified it manually and am still getting the same issue; for example
pyradiomics Rawimage.raw.nii.gz Maskimage.ml.nii.gz --label 107 (#this is heart label from total segmentator) --param path/to/final.yaml -o output_heart.csv
will give the same data on the csv as
pyradiomics Rawimage.raw.nii.gz Maskimage.ml.nii.gz --label 4(#this is aortalabel from total segmentator) --param path/to/final.yaml -o output_aorta.csv
i am having trouble identifying where the issue is coming from, has anyone ever experienced this or can provide input, thanks!
Hi, I am not sure if anyone has experienced this before. I am using pyradionomics to extract data from different ROI defined by total segmentator. However, I am getting the exact same data for the various ROI.
I have simplified it manually and am still getting the same issue; for example pyradiomics Rawimage.raw.nii.gz Maskimage.ml.nii.gz --label 107 (#this is heart label from total segmentator) --param path/to/final.yaml -o output_heart.csv
will give the same data on the csv as pyradiomics Rawimage.raw.nii.gz Maskimage.ml.nii.gz --label 4(#this is aortalabel from total segmentator) --param path/to/final.yaml -o output_aorta.csv
i am having trouble identifying where the issue is coming from, has anyone ever experienced this or can provide input, thanks!