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).

Date Created 2024-08-05 (6 months ago)

Commits 386 (last one about a month ago)

Stargazers 46 (0 this week)

Watchers 1 (0 this week)

Forks 5

License mit

Ranking

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 is also tagged with popular topics, for these it's ranked: ai (#3,508/4582), segmentation (#565/665), graph-neural-networks (#485/604)

Other Information

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/

All Topics

ai graphs xenium oncology segmentation spatial-omics molecule-graphs cell-segmentation single-cell-analysis graph-neural-networks spatial-transcriptomics

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

386 commits on the default branch (main) since jan '22

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The primary language is Python but there's also others...

updated: 2025-02-24 @ 07:57am, id: 838228483 / R_kgDOMfZaAw