All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–4 of 4 filtered models
Cellpose-SAM
2.2K152—Generalist cell segmentation model combining SAM's ViT-L backbone with Cellpose flow fields. First model to surpass average human annotators on the Cellpose benchmark.
Imaging50OpennessCellpose 2.0
2.2K1.1K—Human-in-the-loop cell segmentation framework enabling custom model training from as few as 100-200 corrected annotations.
Imaging59OpennessCellpose
2.2K3.4K—Generalist deep learning algorithm for cell and nucleus instance segmentation using simulated diffusion flows, without per-dataset retraining.
Imaging92Openness