awesome-dicom
github.com/open-dicom/awesome-dicom ↗A curated list of awesome DICOM resources and libraries.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me other/combination resources from awesome-dicom"
Installation instructions →What's inside
Libraries
- 3D SlicerOther/Combination
Free and open source workstation software with tools for many clinical specialies and DICOM datatypes. Supports visualization, registration, segmentation, time series analysis and much more.
- AlizaMSOther/Combination
DICOM viewer.
- bidskitPython
CLI for converting a directory of DICOM files into a
- bluelightJavaScript
Browser-based medical image viewer primarily maintained by the
- cornerstoneJavaScript
A complete web based medical imaging platform. This repository contains the cornerstone.js "Core" component which is a lightweight JavaScript library for displaying medical images in modern web browsers that support the HTML5 canvas element.
- cornerstoneWADOImageLoaderJavaScript
A
Learning Resources
- DICOM is Easy
A personal blog which includes a series of DICOM tutorials.
- DICOM Library
A free online medical DICOM image or video file sharing service for educational and scientific purposes.
- DICOM Standard Browser
Part 3 of the DICOM standard as a tree.
- Microsoft training module
Short training module about working with medical imaging data in general and DICOM in particular.
- Saga DICOM Standard Browser
Cross-linked index of PS3 covering attributes, CIODs, modules, SOP classes, transfer syntaxes and VRs, alongside HL7 v2 and FHIR mapping references.
- Saravanan Subramanian's blog
A series of articles and tutorials focusing on working with DICOM using Java and .NET.
Datasets
- Imaging Data Commons (IDC)
A cloud-based repository of publicly available cancer imaging data. Includes radiology, digital pathology, analysis results all in DICOM format. Mirrors all public radiology DICOM collections available in TCIA.
- Medical Imaging and Data Resource Center (MIDRC)
This archive contains DICOM imaging for over 67,000 COVID-19 subjects.
- The Cancer Imaging Archive (TCIA)
Freely available radiology and pathology cancer imaging datasets.
Showing a sample of 89 resources. View the full list on GitHub →