Deep learning-based automated classification of choroidal layers in en face swept-source optical coherence tomography images
Automated stratification of choroidal layers from en face SS-OCT images can be achieved accurately through deep learning.
Authors
- Je Moon Yoon (ORCID: https://orcid.org/0000-0002-2912-9786)
- Jee-Hyong Lee (ORCID: https://orcid.org/0000-0001-7242-7677)
- Ji Young Lim (ORCID: https://orcid.org/0000-0002-4434-9293)
- Seung Wan Nam
- Hoon Noh
- Don-ll Ham
Institutions
- Samsung Medical Center (KR)
- Nune Eye Hospital (KR)
- Onnuri Smile Eye Clinic (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- BMC Ophthalmology
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1186/s12886-025-04170-0
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Sungkyunkwan University
- Ministry of Science and ICT, South Korea
- Institute for Information and Communications Technology Promotion