#Pathology
Showing 10 of 10 repositories tagged #pathology, ranked by stars
Open source tools for computational pathology - Nature BME
QuPath - Open-source bioimage analysis for research
Cancer metastasis detection with neural conditional random field (NCRF)
Toolkit for large-scale whole-slide image processing.
The PatchCamelyon (PCam) deep learning classification benchmark.
Library for Digital Pathology Image Processing
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.
Solid Tumor Associative Modeling in Pathology
🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images
DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.