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

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

• medical-imaging
• medical-ai
• deep-learning
• machine-learning

⚡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

Clinical Histopathology Imaging Evaluation Foundation Model

Vision-Language Pathology Foundation Model - Nature Medicine

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

U-Net Brain Tumor Segmentation

• tensorflow
• tensorlayer
• unet
• medical-imaging

Dicoogle - Open Source PACS

• dicoogle
• dicom
• pacs
• medical-imaging

C library for reading virtual slide images

• pathology
• whole-slide-imaging
• c

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

Automated 3D cell detection in very large images

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

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

AI-based pathology predicts origins for cancers of unknown primary - Nature

• histology
• pathology
• wsi-images
• histopathology

Interoperable web-based DICOM slide microscopy viewer and annotation tool

• dicomweb
• oidc
• react
• digital-pathology

ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data

• neuroimaging
• reproducibility
• pipeline
• meta-analysis

mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance

• qa
• mri
• neuroimaging
• niqc