Digital-Dermatology / t-loss

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

Date Created 2023-08-02 (11 months ago)

Commits 4 (last one 8 months ago)

Stargazers 41 (0 this week)

Watchers 4 (0 this week)

Forks 5

License apache-2.0

Ranking

RepositoryStats indexes 534,551 repositories, of these Digital-Dermatology/t-loss is ranked #471,895 (12th percentile) for total stargazers, and #354,805 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #88,995/103,470.

Digital-Dermatology/t-loss is also tagged with popular topics, for these it's ranked: pytorch (#5,059/5588), medical-imaging (#233/255), image-segmentation (#161/184)

Other Information

Digital-Dermatology/t-loss has Github issues enabled, there is 1 open issue and 4 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: 2024-06-22 @ 05:25pm, id: 673682218 / R_kgDOKCeTKg