Automated Quantification of Lens Cortex and Nuclear Opacity Based on Swept-Source Anterior Segment Optical Coherence Tomography
The AI model is capable of accurately and objectively quantifying the opacity of both the lens cortex and nucleus based on swept-source AS-OCT images, thereby offering a method that is more precise, objective, and rapid for quantification in both clinical practice and research settings.
Authors
- Xiaotong Han (ORCID: https://orcid.org/0009-0006-1674-1235)
- Aixia Jin
- Xiaoting Ruan
- Deval Mehta (ORCID: https://orcid.org/0000-0002-2738-2120)
- Xuhua Tan (ORCID: https://orcid.org/0000-0001-6929-1991)
- Haowen Lin (ORCID: https://orcid.org/0000-0002-0743-6988)
- Zongyuan Ge
- Xiaoxun Gu (ORCID: https://orcid.org/0000-0002-2022-6715)
- Yifan Zhang (ORCID: https://orcid.org/0000-0003-1849-7484)
- Lixia Luo (ORCID: https://orcid.org/0000-0002-9806-4074)
- Chi Liu (ORCID: https://orcid.org/0000-0002-6428-5514)
- Jiaqing Zhang (ORCID: https://orcid.org/0000-0002-6773-0046)
- Yifan Xu (ORCID: https://orcid.org/0000-0002-0426-0948)
- Xin Zhang (ORCID: https://orcid.org/0000-0001-6036-2685)
Institutions
- Sun Yat-sen University (CN)
- Monash University (AU)
- City University of Macau (MO)
Publication Details
- Journal
- Journal of Refractive Surgery
- Published
- 2025-10-01
- DOI
- https://doi.org/10.3928/1081597x-20250707-09
- Primary Topic
- Optical Coherence Tomography Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00