STB-Net: a Siamese architecture-based reconstruction-segmentation network for ocular surface image segmentation
The proposed STB-Net model provides a robust and effective solution for the automated segmentation of ocular surface structures and the precise quantification of eyelid morphological parameters. It holds significant promise for enhancing the objectivity and efficiency of clinical diagnoses of eyelid disorders.
Authors
- Yulong Mao
- Jimei Wu (ORCID: https://orcid.org/0000-0002-4695-1376)
- Weihua Yang (ORCID: https://orcid.org/0000-0002-7629-0193)
- Cheng Wan (ORCID: https://orcid.org/0000-0002-2295-3481)
- Yang Yang (ORCID: https://orcid.org/0000-0002-0257-197X)
Institutions
- Southern Medical University Shenzhen Hospital (CN)
- He Eye Hospital (CN)
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-11-25
- DOI
- https://doi.org/10.21037/qims-2025-1140
- Primary Topic
- Facial Rejuvenation and Surgery Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00