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Tags: Medical imaging
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1–16 of 16 · Most stars

OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

  • nci-itcr
  • nci-qin
  • quantitative-imaging
  • imaging-informatics

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.

  • hubmap
  • imaging
  • openmicroscopy
  • 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".

Azure friendly DICOMweb part 18 .NET server with qido-rs, wado-rs, stow-rs, wado-uri RESTful implementation

  • dicom
  • dicomweb
  • dicomcloud
  • wado

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

Minerva Story is an image viewer that is designed specifically to make it easy for non-expert users to interact with complex tissue images.

  • minerva
  • microscopy
  • ome
  • immunofluorescence

mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance

  • qa
  • mri
  • neuroimaging
  • niqc