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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 241–249 of 249 filtered models
Histopathology tile encoder pairing a CNN stem with a multi-scale Swin Transformer, pretrained on 15.6 million unlabeled H&E patches.
Renal pathology segmentation covering six kidney tissue types across 5x to 40x magnifications from one network, and transferring from human to mouse.
Hierarchical vision transformer for gigapixel whole-slide images, pretrained with two nested stages of DINO across 33 TCGA cancer types.
Glomerular detection, segmentation, and glomerulosclerosis subtyping from renal whole-slide images, pretrained on web-mined glomerular figures.
Medical-domain CLIP fine-tuned on radiology image-caption pairs from ROCO, serving as a drop-in visual encoder for medical visual question answering.
Histopathology patch encoder self-supervised with BYOL on 2.7M unlabeled H&E tiles, using attention that gates feature channels with pooled context.
Histopathology patch encoder giving 1024-dimensional embeddings for slide search and cancer subtyping, trained on TCGA with weak slide labels.
Glomerulus and nuclei detection in whole-slide pathology images, predicting a bounding circle rather than a box for rotation-consistent localization.
Nucleus instance segmentation for fluorescence microscopy and H&E histology, predicting a star-convex polygon per pixel to separate crowded nuclei.