Digital Pathology & Histopathology AI
24 repos
Deep learning and computational methods for analyzing whole-slide images and histopathology data. This cluster covers image processing, segmentation, classification, and diagnostic support tools applied to digital pathology workflows, with strong emphasis on machine learning approaches for tissue analysis, cancer detection, and clinical decision support. Repositories range from benchmarking frameworks and preprocessing pipelines to end-to-end diagnostic models and multi-instance learning approaches for gigapixel medical images.
Python · 19
Jupyter Notebook · 1
computational-pathology ·2,982
histopathology ·2,930
pathology ·2,661
digital-pathology ·2,600
deep-learning ·2,571
whole-slide-imaging ·2,539
weakly-supervised-learning ·1,873
tcga-data ·1,857
camelyon16 ·1,745
camelyon17 ·1,745
