# W-Net: A boundary-enhanced segmentation network for stroke lesions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/w-net-a-boundary-enhanced-segmentation-network-for-stroke-lesions/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zelin Wu,Xueying Zhang,Fenglian Li,Suzhe Wang,Lixia Huang,Jiaying Li |
| Citations | 72 |
| DOI | 10.1016/j.eswa.2023.120637 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4378976919 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Jiaying Li](https://scholariq.org/researchers/jiaying-li/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## Paper primary topic

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

## Paper topics

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

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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.