xmindflow / DAEFormer

[MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation

Date Created 2022-12-22 (about a year ago)

Commits 29 (last one about a year ago)

Stargazers 107 (0 this week)

Watchers 3 (0 this week)

Forks 12

License mit

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RepositoryStats indexes 589,134 repositories, of these xmindflow/DAEFormer is ranked #279,211 (53rd percentile) for total stargazers, and #424,515 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #51,611/117,584.

xmindflow/DAEFormer is also tagged with popular topics, for these it's ranked: deep-learning (#4,903/8438), pytorch (#3,471/5977), transformer (#560/1010), segmentation (#346/633)

Other Information

xmindflow/DAEFormer has Github issues enabled, there are 12 open issues and 6 closed issues.

Homepage URL: https://arxiv.org/abs/2212.13504

All Topics

pytorch transformer segmentation deep-learning efficient-transformers medical-image-analysis unet-image-segmentation medical-image-segmentation

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

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updated: 2024-11-28 @ 05:41pm, id: 581221740 / R_kgDOIqS9bA