TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
- medical-imaging
- medical-ai
- deep-learning
- machine-learning
55,640 visible repositories in the index
1–15 of 15 · Most stars
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Pathology Foundation Model - Nature Medicine
Clinical Histopathology Imaging Evaluation Foundation Model
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
Vision-Language Pathology Foundation Model - Nature Medicine
Dicoogle - Open Source PACS
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.
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and 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".
Interoperable web-based DICOM slide microscopy viewer and annotation tool
ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance
Functions for the input/output and visualization of medical imaging data that follow either the ANALYZE, NIfTI or AFNI formats.