OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
- nci-itcr
- nci-qin
- quantitative-imaging
- imaging-informatics
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OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
[Deprecated] Use Cornerstone3D Instead https://cornerstonejs.org/
A pure JavaScript medical research image viewer.
Dicoogle - Open Source PACS
Tools for computational pathology
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.
Interoperable web-based DICOM slide microscopy viewer and annotation tool