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
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
⚡High Performance DICOM Medical Image Parser in Go.
3D medical imaging reconstruction software
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
C library for reading virtual slide images
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
Automated 3D cell detection in very large images
Converts medical images to more displayable formats, e.g. NIfTI to jpg.
AI-based pathology predicts origins for cancers of unknown primary - Nature
Minerva Story is an image viewer that is designed specifically to make it easy for non-expert users to interact with complex tissue images.
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance