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

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

VTK.js image viewport component in React

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

Core medical image viewer components built using React

Lightweight DICOMweb Server with CouchDB

Useful functions and classes for building web-based medical imaging applications

Segmentation-based measurements with DICOM import and export of the results.

OHIF Plugin for The Visualization Toolkit (VTK)

Interactive linked visual query system for large datasets

3D Slicer Extension for PETTumorSegmentation

3D Slicer module for browsing and downloading medical imaging collections from The Cancer Imaging Archive (TCIA).

Scripts used for conversion of the data for the PET/CT quantitative imaging biomarker development project by the Iowa site of NCI QIN.

Content management system based on TACTIC

ePAD Web Service

Supporting materials for the MICCAI 2017 DICOM tutorial. See accompanying documentation at https://qiicr.gitbook.io/dicom4miccai-handson/