# Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/mamba-unet-unet-like-pure-visual-mamba-for-medical-image-segmentation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ziyang Wang,Jian-Qing Zheng,Yichi Zhang,Ge Cui,Lei Li |
| Citations | 87 |
| DOI | 10.48550/arxiv.2402.05079 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2402.05079 |
| OpenAlex ID | https://openalex.org/W4391670385 |
| Type | preprint |
| Year | 2024 |

## Paper authors

- [Yichi Zhang](https://scholariq.org/researchers/yichi-zhang/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

## Paper topics

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.