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
Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Pathology Foundation Model - Nature Medicine
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".
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Azure friendly DICOMweb part 18 .NET server with qido-rs, wado-rs, stow-rs, wado-uri RESTful implementation
Interoperable web-based DICOM slide microscopy viewer and annotation tool
Detecting cancers on mobile phones
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