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1–13 of 13 · Most stars

Vision-Language Pathology Foundation Model - Nature Medicine

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

Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.

  • arithmetic
  • integer-arithmetic
  • fixed-point-arithmetic
  • rational-arithmetic

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.

A C/C++ header file for fast 32-bit division remainders (and divisibility tests) on 64-bit hardware.

  • performance

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".