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Digital pathology foundation models from PathAI, spanning a 22M-parameter variant and a 1.1B-parameter flagship trained on 551K whole-slide images.
Digital pathology model inferring collagen structure from H&E whole-slide images, trained against polarization imaging of Picrosirius Red slides.
Compact 22M-parameter ViT-S pathology foundation model pre-trained on 195M tiles, spanning subcellular segmentation to slide-level prediction.