himashi92 / VT-UNet

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Date Created 2021-11-25 (2 years ago)

Commits 35 (last one 2 years ago)

Stargazers 245 (0 this week)

Watchers 8 (0 this week)

Forks 34

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RepositoryStats indexes 579,555 repositories, of these himashi92/VT-UNet is ranked #153,629 (73rd percentile) for total stargazers, and #244,081 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #26,782/115,123.

himashi92/VT-UNet is also tagged with popular topics, for these it's ranked: deep-learning (#3,149/8344), pytorch (#2,170/5914), transformer (#366/994), segmentation (#220/625), semantic-segmentation (#167/507)

Other Information

himashi92/VT-UNet has Github issues enabled, there are 7 open issues and 32 closed issues.

All Topics

mri vtunet pytorch transformer segmentation brats-dataset deep-learning pure-transformer tumor-segmentation vision-transformer semantic-segmentation pytorch-implementation volumetric-transformer 3d-medical-imaging-segmentation

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

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updated: 2024-11-05 @ 04:57pm, id: 432005336 / R_kgDOGb_g2A