TransDualSegNet: transformer dual segment network for retinal vasculature segmentation in OCT
TransDualSegNet, with its innovative architecture and outstanding segmentation performance, offers a novel solution for retinal vessel segmentation. Although there is room for optimization, its technical advantages and clinical potential provide valuable insights for advancing medical image processing and ophthalmic diagnostic technologies. Precise retinal vessel segmentation aids in diagnosing diabetic retinopathy and hypertensive retinopathy, facilitating automatic measurement of parameters such as vessel diameter and wall thickness to offer more accurate treatment recommendations for patients.
Authors
- Chongjun Huang (ORCID: https://orcid.org/0009-0001-4673-577X)
- Meizhen Zhang (ORCID: https://orcid.org/0000-0002-7740-8376)
- Guohui Yuan (ORCID: https://orcid.org/0000-0003-3662-2875)
- Yuhua Tong (ORCID: https://orcid.org/0000-0002-3611-1285)
- Weihua Yang (ORCID: https://orcid.org/0000-0002-7629-0193)
- Zhuoran Wang (ORCID: https://orcid.org/0000-0003-3204-3702)
- Jing Hu (ORCID: https://orcid.org/0009-0007-8446-0862)
- Zhiming Xiong
- Ligang Jiang
Institutions
- University of Electronic Science and Technology of China (CN)
- Wenzhou Medical University (CN)
- Quzhou City People's Hospital (CN)
- Quzhou University (CN)
- Southern Medical University Shenzhen Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-09-24
- DOI
- https://doi.org/10.21037/qims-2024-2842
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00