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
After the doctor has outlined the tumor area, the generated tumor mask is dot-multiplied with the original image to obtain a 3D image containing only the VOI. Now I have only the VOI 3D image obtained after processing, no mask and original image, in this case how should I use pyradiomics to extract the image features？
After the doctor has outlined the tumor area, the generated tumor mask is dot-multiplied with the original image to obtain a 3D image containing only the VOI. Now I have only the VOI 3D image obtained after processing, no mask and original image, in this case how should I use pyradiomics to extract the image features？