EliHei2 / segger_dev
a cutting-edge cell segmentation model specifically designed for single-molecule resolved spatial omics datasets. It addresses the challenge of accurately segmenting individual cells in complex imaging datasets, leveraging a unique approach based on graph neural networks (GNNs).
RepositoryStats indexes 620,786 repositories, of these EliHei2/segger_dev is ranked #506,745 (18th percentile) for total stargazers, and #559,720 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #98,815/125,721.
EliHei2/segger_dev has 3 open pull requests on Github, 39 pull requests have been merged over the lifetime of the repository.
Github issues are enabled, there are 11 open issues and 31 closed issues.
Homepage URL: https://elihei2.github.io/segger_dev/
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updated: 2025-02-24 @ 07:57am, id: 838228483 / R_kgDOMfZaAw