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Tags: Medical imaging
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1–24 of 42 · Most stars

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

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

⚡High Performance DICOM Medical Image Parser in Go.

  • dicom
  • dicom-images
  • golang
  • golang-library

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

Vision-Language Pathology Foundation Model - Nature Medicine

  • bioimage-analysis
  • bioimage-informatics
  • conch
  • foundation-model

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.

  • histopathology-images
  • microscopy
  • sliding-windows
  • medical-image-analysis

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".