Topic: cancer-imaging Goto Github
Some thing interesting about cancer-imaging
Some thing interesting about cancer-imaging
cancer-imaging,Probabilistic topic model for identifying cellular micro-environments.
Organization: calico
cancer-imaging,Awesome artificial intelligence in cancer diagnostics and oncology
User: cbailes
cancer-imaging,Calculate 43 texture features of a 2D or 3D image
User: cgreen259
cancer-imaging,A basic example of image classification with PyTorch, included with instructions on how to re-create results and the performance of the best performing model
User: d-f
cancer-imaging,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
User: darkkemper
cancer-imaging,The HTAN Data Portal
Organization: ncihtan
Home Page: https://humantumoratlas.org
cancer-imaging,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.
Organization: radxtools
cancer-imaging,Python implementation of topology descriptors which capture subtle sharpness and curvature differences along the surface of diseased pathologies on imaging.
Organization: radxtools
cancer-imaging,Emory BMI GSoC 2020 Project Ideas
Organization: sharmalab
cancer-imaging,An extension to 3D Slicer to support quantitative imaging and image-guided interventions research in prostate cancer.
Organization: slicerprostate
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