cellSAM
Foundation model for universal cell segmentation achieving state-of-the-art performance across bacteria, tissue, yeast, cell culture, and diverse imaging modalities (brightfield, fluorescence, phase), with pip-installable inference and Napari plugin (vanvalenlab/Caltech, bioRxiv 2024)
README
CellSAM: A Foundation Model for Cell Segmentation NOTE Be sure to update to the [latest version of the model][pinned-issue] Description This repository provides inference code for CellSAM. CellSAM is described in more detail in the preprint, and is publicly deployed at cellsam.deepcell.org. CellSAM achieves state-of-the-art performance on segmentation across a variety of cellular targets (bacteria, tissue, yeast, cell culture, etc.) and imaging modalities (brightfield, fluorescence, phase,…
- Repository
- github.com/vanvalenlab/cellsam
Source attribution
- Awesome AI for Science — github.com/vanvalenlab/cellsam
- GitHub — github.com/vanvalenlab/cellsam
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