HHBSNet: a global channel–spatial attention and multi‐scale dilated convolution network for automatic melasma segmentation
The proposed HHBSNet demonstrates superior segmentation performance and robustness in handling melasma's challenging visual characteristics. Its lightweight structure and strong generalization ability suggest promising potential for application in computer-aided diagnosis and large-scale clinical screening of facial pigmentary disorders.
Authors
- Lin Xu (ORCID: https://orcid.org/0000-0001-5777-1496)
- Marcin Grzegorzek (ORCID: https://orcid.org/0000-0003-4877-8287)
- Linshuai Zhang (ORCID: https://orcid.org/0000-0002-2173-3698)
- Jing Guo (ORCID: https://orcid.org/0000-0002-6399-3877)
- Chen Li (ORCID: https://orcid.org/0000-0003-1545-8885)
- Tao Jiang (ORCID: https://orcid.org/0000-0003-3833-4498)
- Shange Wang
- Yujie Zhang (ORCID: https://orcid.org/0000-0002-6210-6607)
Institutions
- Chengdu University of Traditional Chinese Medicine (CN)
- Northeastern University (CN)
- University of Lübeck (DE)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-11-05
- DOI
- https://doi.org/10.3389/fphys.2025.1665138
- Primary Topic
- Dermatologic Treatments and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00