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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 385–386 of 386 filtered models
3D convolutional network that predicts subcellular fluorescence labels from transmitted-light microscopy, enabling label-free imaging of living cells.
Nucleus instance segmentation for fluorescence microscopy and H&E histology, predicting a star-convex polygon per pixel to separate crowded nuclei.