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Cancer Imaging Python Packages

Python packages with the GitHub topic cancer-imaging. Sorted by relevance, with stars and monthly downloads.
ccipd
collageradiomics

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.

3K 20 12
calico
spatial-lda

Probabilistic topic model for identifying cellular micro-environments.

1K 28 12
radxtools
collageradiomicstypes

CoLliage Implementation

268 20 12
radxtools
collageradiomics-types

CoLliage Implementation

156 20 12
ccipd
collageradiomics-core

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.

149 20 12
Toth-Technology
topology-radiomics

Python implementation of topology descriptors which capture subtle sharpness and curvature differences along the surface of diseased pathologies on imaging.

130 9 3
radxtools
collageradiomicscli

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.

112 20 12
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