All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–4 of 4 filtered models
Cellpose-SAM
2.3K192—Generalist cell segmentation model pairing SAM's ViT-L encoder with Cellpose flow fields, outperforming average human annotators on its benchmark.
Imaging50OpennessCellpose 2.0
2.3K1.1K—Human-in-the-loop cell segmentation framework enabling custom model training from as few as 100-200 corrected annotations.
Imaging59OpennessCellpose
2.3K3.6K—Generalist deep learning algorithm for cell and nucleus instance segmentation using simulated diffusion flows, without per-dataset retraining.
Imaging92Openness