Awesome artificial intelligence in cancer diagnostics and oncology
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Updated
Oct 21, 2022
Awesome artificial intelligence in cancer diagnostics and oncology
Probabilistic topic model for identifying cellular micro-environments.
An extension to 3D Slicer to support quantitative imaging and image-guided interventions research in prostate cancer.
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.
Emory BMI GSoC 2020 Project Ideas
Python implementation of topology descriptors which capture subtle sharpness and curvature differences along the surface of diseased pathologies on imaging.
Calculate 43 texture features of a 2D or 3D image
The program is used to extract digital medical images and documents of examined patients from the DICOMDIR file and save them in PNG or JPEG format
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