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
Multi-platform, free open source software for visualization and image computing.
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.
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
A Python interface to access neuroanatomical atlases
Interoperable web-based DICOM slide microscopy viewer and annotation tool
Minerva Story is an image viewer that is designed specifically to make it easy for non-expert users to interact with complex tissue images.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources