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

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

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

3D medical imaging reconstruction software

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

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

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

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

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

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

• histology
• pathology
• wsi-images
• histopathology

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

• generative-adversarial-network
• mri-reconstruction
• computer-vision
• deep-learning

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

• neuroimaging
• reproducibility
• pipeline
• meta-analysis

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

• fine-tuning
• vgg16
• resnet18
• densenet121

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

• qa
• mri
• neuroimaging
• niqc

legacy signal processing leveraging afni, ants, fsl, nipy, robex, and wavelet toolbox - brnfswdktm

• fmri-preprocessing
• fmri