OpenPath — Checkpoints Teacher checkpoints of OpenPath , a ViT g/14 pathology foundation model pre trained with self supervision ( DINOv2 + gram anchoring) on public only whole slide histopathology tiles (OpenPath corpus). Headline result. On AMC HCC ST — a contamination free in house Asan Medical Center hepatocellular carcinoma spatial transcriptomics cohort, the least leakage prone benchmark since no public foundation model was trained on it — OpenPath ranks 1 among seven foundation models . Checkpoints 61 teacher checkpoints : training 0 … training 345000 , every 5,750 iters (≈ 1 native epoch total). Each is training /teacher checkpoint.pth (ViT g/14 reg4, 1536 dim CLS embedding). Released model = training 316250 — selected by the clean AMC HCC ST benchmark. (OpenPath's HEST 1K peaks earlier, ~ training 23000 at ~0.38; pick a checkpoint to match your task.) Load & extract embeddings Requires the OpenPath / DINOv2 code ( taejoon89/openpath ). Evaluation Frozen encoder linear/ridge probing, all models under one protocol (sorted by the clean AMC HCC ST cohort). AMC HCC ST is our headline because public benchmarks (HEST 1K, CRC, BACH) derive from repositories these FMs were pre trai…
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