A deep learning-assisted automatic measurement of tear meniscus height on ocular surface images and its application in myopia control
A deep learning model was established for automatic measurement of the TMH on Keratograph 5M-captured ocular surface images. This model demonstrated high accuracy, great consistency with manual measurements, and applicability to the initial screening of dry eye associated with myopia control modalities.
Authors
- Bei Du (ORCID: https://orcid.org/0000-0002-0947-1541)
- Rong Hua (ORCID: https://orcid.org/0000-0003-0049-5202)
- Ruihua Wei (ORCID: https://orcid.org/0000-0002-9708-0355)
- Weixiao Zhang (ORCID: https://orcid.org/0000-0002-8096-1826)
- Meinan He (ORCID: https://orcid.org/0000-0001-7890-7620)
- Yan Zhang (ORCID: https://orcid.org/0000-0003-2050-6343)
- Guihua Liu (ORCID: https://orcid.org/0000-0003-1811-8763)
- Kaiwen Hei
Institutions
- Tianjin Medical University Eye Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2025-04-11
- DOI
- https://doi.org/10.3389/fbioe.2025.1554432
- Citations
- 2
- Primary Topic
- Ocular Surface and Contact Lens
- Type
- article
- Field-Weighted Citation Impact
- 3.76