# jeya-maria-jose/UNeXt-pytorch

<https://repo.masters-masters.com/en/repos/jeya-maria-jose/UNeXt-pytorch>

[Home](https://repo.masters-masters.com/en) › [jeya-maria-jose](https://repo.masters-masters.com/en/owners/jeya-maria-jose) › [UNeXt-pytorch](https://repo.masters-masters.com/en/repos/jeya-maria-jose/UNeXt-pytorch)

jeya-maria-jose/UNeXt-pytorch has 571 stars on GitHub. Its RepoMasters card: Alpha tier. Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image…

| Field | Value |
| --- | --- |
| Owner | [jeya-maria-jose](https://repo.masters-masters.com/en/owners/jeya-maria-jose) |
| Stars | 571 |
| Forks | 86 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | segmentation, medical-image-segmentation, medical-imaging, deep-learning, unet, unet-image-segmentation, mlp |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [jeya-maria-jose/UNeXt-pytorch](https://github.com/jeya-maria-jose/UNeXt-pytorch) |

## Repository

Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022

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.
