# FengheTan9/CMUNeXt

<https://repo.masters-masters.com/en/repos/FengheTan9/CMUNeXt>

[Home](https://repo.masters-masters.com/en) › [FengheTan9](https://repo.masters-masters.com/en/owners/FengheTan9) › [CMUNeXt](https://repo.masters-masters.com/en/repos/FengheTan9/CMUNeXt)

FengheTan9/CMUNeXt has 138 stars on GitHub. Its RepoMasters card: Prototype tier. \[ISBI 2024 Oral\] Official Pytorch Code base for "CMUNeXt: An Efficient…

| Field | Value |
| --- | --- |
| Owner | [FengheTan9](https://repo.masters-masters.com/en/owners/FengheTan9) |
| Stars | 138 |
| Forks | 14 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | computer-vision, medical-image-processing, segmentation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [FengheTan9/CMUNeXt](https://github.com/FengheTan9/CMUNeXt) |

## Repository

\[ISBI 2024 Oral\] Official Pytorch Code base for "CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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