# himashi92/VT-UNet

<https://repo.masters-masters.com/en/repos/himashi92/VT-UNet>

[Home](https://repo.masters-masters.com/en) › [himashi92](https://repo.masters-masters.com/en/owners/himashi92) › [VT-UNet](https://repo.masters-masters.com/en/repos/himashi92/VT-UNet)

himashi92/VT-UNet has 278 stars on GitHub. Its RepoMasters card: Alpha tier. \[MICCAI2022\] This is an official PyTorch implementation for A Robust Volumetric…

| Field | Value |
| --- | --- |
| Owner | [himashi92](https://repo.masters-masters.com/en/owners/himashi92) |
| Stars | 278 |
| Forks | 36 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | transformer, 3d-medical-imaging-segmentation, tumor-segmentation, volumetric-transformer, deep-learning, pytorch-implementation, pure-transformer, pytorch, segmentation, mri |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [himashi92/VT-UNet](https://github.com/himashi92/VT-UNet) |

## Repository

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

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.