Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]
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Updated
Feb 9, 2023 - Python
Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]
Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.
Predict survival time from PET scans
Python implementation of topology descriptors which capture subtle sharpness and curvature differences along the surface of diseased pathologies on imaging.
Classification of spondylodiscitidis vs metastasis in the spine using Neural Networks
Calculate 43 texture features of a 2D or 3D image
Official implementation of the Fréchet Radiomics Distance | pip install frd-score
Dashboard and survival models for the TRAIN project linking Dicom, Clinical and Radiomics data
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