anthonyweidai / SvANet

Official implementation of "Exploiting Scale-Variant Attention for Segmenting Small Medical Objects"

Date Created 2024-06-06 (5 months ago)

Commits 1 (last one about a month ago)

Stargazers 39 (1 this week)

Watchers 5 (0 this week)

Forks 2

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Ranking

RepositoryStats indexes 584,353 repositories, of these anthonyweidai/SvANet is ranked #518,127 (11th percentile) for total stargazers, and #332,313 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #100,671/116,326.

anthonyweidai/SvANet is also tagged with popular topics, for these it's ranked: deep-learning (#7,720/8389), computer-vision (#2,781/3081), medical-imaging (#256/282)

Other Information

anthonyweidai/SvANet has Github issues enabled, there is 1 open issue and 13 closed issues.

All Topics

deep-learning computer-vision medical-imaging vision-transformer attention-mechanism multi-scale-features medical-image-analysis small-object-detection small-object-segmentation medical-image-segmentation

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

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updated: 2024-11-19 @ 09:09pm, id: 811253244 / R_kgDOMFq9_A