Digital-Dermatology / t-loss

Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)

Date Created 2023-08-02 (about a year ago)

Commits 4 (last one about a year ago)

Stargazers 49 (0 this week)

Watchers 3 (0 this week)

Forks 7

License apache-2.0

Ranking

RepositoryStats indexes 632,869 repositories, of these Digital-Dermatology/t-loss is ranked #498,266 (21st percentile) for total stargazers, and #417,903 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #97,367/129,221.

Digital-Dermatology/t-loss is also tagged with popular topics, for these it's ranked: pytorch (#5,145/6217), medical-imaging (#248/305), image-segmentation (#174/218)

Other Information

Digital-Dermatology/t-loss has Github issues enabled, there are 4 open issues and 5 closed issues.

Homepage URL: https://robust-tloss.github.io/

All Topics

tloss t-loss pytorch miccai2023 medical-imaging image-segmentation robust-segmentation medical-image-analysis

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Recent Commit History

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

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updated: 2025-03-29 @ 02:48am, id: 673682218 / R_kgDOKCeTKg