cancer-imaging-research topic

OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

OHIF

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

AIM-Harvard

AI-based pathology predicts origins for cancers of unknown primary - Nature

mahmoodlab

dcmqi (DICOM for Quantitative Imaging) is a free, open source C++ library for conversion between imaging research formats and the standard DICOM representation for image analysis results

QIICR

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

CBICA

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

lishen

Probabilistic topic model for identifying cellular micro-environments.

calico

DCE MRI analysis in Julia

davidssmith

Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]

nadeemlab

Open source of Pyradiomics extension

zhenweishi