OHIF / Viewers
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
OHIF / Viewers
Slicer / Slicer
Multi-platform, free open source software for visualization and image computing.
nroduit / Weasis
Weasis is a web-based DICOM viewer for advanced medical imaging and seamless PACS integration.
albumentations-team / AlbumentationsX
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
mlmed / torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
InsightSoftwareConsortium / ITK
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
Project-MONAI / MONAILabel
MONAI Label is an intelligent open source image labeling and learning tool.
MITK / MITK
The Medical Imaging Interaction Toolkit.
invesalius / invesalius3
3D medical imaging reconstruction software
VictorButoi / FleXray
FleXray: Universal Clinical X-ray Segmentation
KeWang0622 / MRFoundry
MRI research guidance for coding agents — composable skills, established tools, and evidence-linked research memory. Install: npx skills add KeWang0622/MRFoundry
ivmartel / dwv
DICOM Web Viewer: open source zero footprint medical image library.
JunMa11 / MICCAI-OpenSourcePapers
MICCAI 2019-2026 Open Source Papers
fo-dicom / fo-dicom
Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity
cornerstonejs / cornerstone3D
Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.
commontk / CTK
A set of common support code for medical imaging, surgical navigation, and related purposes.
adalca / medical-datasets
tracking medical datasets, with a focus on medical imaging
ANTsX / ANTsPy
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
dipy / dipy
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
deepinv / deepinv
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
MIC-DKFZ / nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
Enet4 / dicom-rs
Rust implementation of the DICOM standard
FAST-Imaging / FAST
A framework for high-performance medical image processing, neural network inference and visualization
microsoft / dicom-server
OSS Implementation of DICOMweb standard
AndreiiArhire / LightMIS
LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder
l5769389 / voxenra
Cross-platform DICOM viewer for CT, MRI & PET/CT with MPR, 3D, fusion, editable segmentation and local AI auto-segmentation via TotalSegmentator.
ruoyuw22-byte / NeuroMorph-Assessment
An automated structural MRI morphometry system integrating CAT12 processing, brain tissue quantification, visualization, and automated report generation.