Deep Learning for Pathology Image Analysis
33 repos
Libraries, models, and tools for extracting features from medical pathology images using deep learning, particularly foundation models and vision transformers. The cluster centers on self-supervised and supervised approaches to analyzing whole-slide images and histopathology data, with implementations in PyTorch. Key repositories include CONCH and related variants, which provide pre-trained vision models for pathology, alongside supporting infrastructure for feature extraction and downstream analysis.
image-feature-extraction ·2,188
pathology ·1,944
pytorch ·1,684
vision ·1,677
en ·1,346
timm ·1,189
safetensors ·1,150
medical ·902
histology ·897
transformers ·881
