# Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/efficient-skin-lesion-segmentation-using-separable-unet-with-stochastic-weight/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Peng Tang,Qiaokang Liang,Xintong Yan,Shao Xiang,Wei Sun,Dan Zhang,Gianmarc Coppola |
| Citations | 188 |
| DOI | 10.1016/j.cmpb.2019.07.005 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2961217518 |
| PMID | 31416556 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Qiaokang Liang](https://scholariq.org/researchers/qiaokang-liang/)
- [Shao Xiang](https://scholariq.org/researchers/shao-xiang/)
- [Dan Zhang](https://scholariq.org/researchers/dan-zhang/)
- [Gianmarc Coppola](https://scholariq.org/researchers/gianmarc-coppola/)

## Paper journal

- [Computer Methods and Programs in Biomedicine](https://scholariq.org/journals/computer-methods-and-programs-in-biomedicine/)

## Paper primary topic

- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)

## Paper topics

- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Face recognition and analysis](https://scholariq.org/topics/face-recognition-and-analysis/)

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