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 44 (0 this week)

Watchers 4 (0 this week)

Forks 6

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these Digital-Dermatology/t-loss is ranked #500,751 (16th percentile) for total stargazers, and #377,401 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #97,034/119,431.

Digital-Dermatology/t-loss is also tagged with popular topics, for these it's ranked: pytorch (#5,264/6025), medical-imaging (#248/287), image-segmentation (#174/207)

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: 2024-11-20 @ 12:19pm, id: 673682218 / R_kgDOKCeTKg