Medische beeldvorming

DICOM Web Viewer: open source zero footprint medical image library.

Python library for reading and writing image data

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.

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.

A set of common support code for medical imaging, surgical navigation, and related purposes.

Dicoogle - Open Source PACS

Automated lung segmentation in CT

A collection of resources on applications of multi-modal learning in medical imaging.

Read, modify and write DICOM files with python code

Rust implementation of the DICOM standard

GDL - GNU Data Language

A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.

"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024) - A Toolbox for CT reconstruction and X-ray Novel View Synthesis

A curated list of awesome DICOM resources and libraries.

The Medical Imaging Interaction Toolkit.

An automated structural MRI morphometry system integrating CAT12 processing, brain tissue quantification, visualization, and automated report generation.

3D medical imaging reconstruction software

A customizable pipeline for multimodal data extraction from MIMIC-IV!

Javascript implementation of DICOM manipulation

Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor & GitHub Copilot. Built by a physician-researcher, tested on real publications. MIT.

Adapter which transforms DIMSE requests to DICOMweb requests

Python package to access a cacophony of neuro-imaging file formats

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

A collection of resources on applications of Transformers in Medical Imaging.

OSS Implementation of DICOMweb standard

Official DCMTK Github Mirror

Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm

A Python implementation of the DICOM networking protocol

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

[MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns transferable representations from unlabeled CT and MRI volumes, then fine-tunes for downstream segmentation and classification. Keras and PyTorch weights included.

Volume rendering, implemented in Unity3D. Want to support the project? Donate a small sum to Save The Children(https://www.savethechildren.net/) or another charity, and send me a message, and I will be greatly motivated!

Open-source multimodal dataset: 98K+ clinical cases & 139K+ medical images from PubMed Central

A community effort to develop an open standard library for Medical Physics in Python. Building quality transparent software together via peer review and open source distribution. Open code is better science.

[Deprecated] Use Cornerstone3D Instead https://cornerstonejs.org/

Facilitates simple large scale processing of HLS Medical images, documents, zip files. OHIF Viewer, 2 segmentation models and interactive learning.

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

[ICLR 2024 oral; top 1.2%] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)

A command line tool to transform a DICOM volume into a 3d surface mesh (obj, stl or ply). Several mesh processing routines can be enabled, such as mesh reduction, smoothing or cleaning. Works on Linux, OSX and Windows.

[CVPR 2023] Label-Free Liver Tumor Segmentation

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

[Deprecated] Use Cornerstone3D Instead https://cornerstonejs.org/

Vision Foundation Models for Medical AI, including RETFound, DINOv2, DINOv3

A list of Medical imaging datasets.

[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.

JavaScript parser for DICOM Part 10 data

The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"

医学影像数据集列表 『An Index for Medical Imaging Datasets』

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

Awesome GAN for Medical Imaging

"Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis" (ECCV 2024)

Vision-Language Pathology Foundation Model - Nature Medicine

Transparent medical image AI via an image–text foundation model grounded in medical literature

OsiriX DICOM Viewer

Papers and Public Datasets for Diabetic Retinopathy Detection