superdsm
SuperDSM is a globally optimal segmentation method based on superadditivity and deformable shape models for cell nuclei in fluorescence microscopy images and beyond.
SuperDSM is a globally optimal segmentation method based on superadditivity and deformable shape models for cell nuclei in fluorescence microscopy images and beyond.
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Summary
SuperDSM is a globally optimal segmentation method based on superadditivity and deformable shape models for cell nuclei in fluorescence microscopy images and beyond.
Last Updated
Sep 19, 2024 at 16:22
License
MIT
Total Downloads
8.7K
Supported Platforms
GitHub Repository
https://github.com/BMCV/SuperDSMDocumentation
https://superdsm.readthedocs.io