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
Hello is there a way to remove the discretization part? As input I would like to use an already preprocessed image with the right amount of gray-level values for the ROI. By default pyradiomics uses a bin_width of 25 but I would like to set it to None such that my gray-level values won't be changed while feature are extracted.
Thanks for your support!
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Hello is there a way to remove the discretization part? As input I would like to use an already preprocessed image with the right amount of gray-level values for the ROI. By default pyradiomics uses a bin_width of 25 but I would like to set it to None such that my gray-level values won't be changed while feature are extracted.
Thanks for your support!
Version (please complete the following information):