Repository Index

AI Toolkit for Healthcare Imaging

• healthcare-imaging
• deep-learning
• medical-image-computing
• medical-image-processing

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

• nci-itcr
• nci-qin
• quantitative-imaging
• imaging-informatics

Multi-platform, free open source software for visualization and image computing.

• medical-imaging
• vtk
• itk
• python

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

• javascript
• cornerstone
• dicom
• medical-imaging

Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity

• dicom
• netcore
• medical
• medical-imaging

⚡High Performance DICOM Medical Image Parser in Go.

• dicom
• dicom-images
• golang
• golang-library

3D medical imaging reconstruction software

• dicom
• dicom-viewer
• magnetic-resonance-imaging
• medical-image-processing

Pathology Foundation Model - Nature Medicine

• foundation
• foundation-model
• histopathology
• mahmoodlab

Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

Vision-Language Pathology Foundation Model - Nature Medicine

• bioimage-analysis
• bioimage-informatics
• conch
• foundation-model

Dicoogle - Open Source PACS

• dicoogle
• dicom
• pacs
• medical-imaging

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

• histopathology-images
• microscopy
• sliding-windows
• medical-image-analysis

Tools for computational pathology

• machine-learning
• digital-pathology
• computational-pathology
• biomedical-image-processing

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

• artificial-intelligence
• clip
• pathology
• vision-and-language

Neural networks toolbox focused on medical image analysis

• python
• keras
• convolutional-neural-networks
• brain

Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.

• hubmap
• imaging
• openmicroscopy
• ome-tiff

Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".

• imaging
• ai
• cloud-computing
• medical-imaging

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

• histology
• wsi-images
• pan-cancer-analysis
• genomics

Azure friendly DICOMweb part 18 .NET server with qido-rs, wado-rs, stow-rs, wado-uri RESTful implementation

• dicom
• dicomweb
• dicomcloud
• wado

Automated 3D cell detection in very large images

• microscopy
• cell-detection
• deep-learning
• image-analysis

PyTorch Connectomics: segmentation toolbox for EM connectomics

• computer-vision
• neuroscience
• connectomics
• pytorch

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

• cancer-imaging-research
• radiomics
• radiomics-features
• machine-learning

A C# DICOM Library

• dicom
• medical-physics
• radiology
• radiation-oncology

A Python interface to access neuroanatomical atlases

• neuroscience
• python
• microscopy
• registration