# MEA-Net: multilayer edge attention network for medical image segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/mea-net-multilayer-edge-attention-network-for-medical-image-segmentation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Huilin Liu,Yue Feng,Hong Xu,Shufen Liang,Huizhu Liang,Shengke Li,Jiajian Zhu,Shuai Yang,Fufeng Li |
| Citations | 46 |
| DOI | 10.1038/s41598-022-11852-y |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-022-11852-y.pdf |
| OpenAlex ID | https://openalex.org/W4280529774 |
| PMID | 35551234 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Huilin Liu](https://scholariq.org/researchers/huilin-liu/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)

## Paper topics

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.