Impact of Incomplete Blinking Analyzed Using a Deep Learning Model With the Keratograph 5M in Dry Eye Disease

PURPOSE: To establish a deep learning model (DLM) for blink analysis, and investigate whether blink video frame sampling rate influences the accuracy of analysis. METHODS: This case-controlled study recruited 50 dry eye disease (DED) participants and 50 normal subjects. Blink videos recorded by a Ke...

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Detalles Bibliográficos
Autores principales: Zheng, Qinxiang, Wang, Lei, Wen, Han, Ren, Yueping, Huang, Shenghai, Bai, Furong, Li, Na, Craig, Jennifer P., Tong, Louis, Chen, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976934/
https://www.ncbi.nlm.nih.gov/pubmed/35357395
http://dx.doi.org/10.1167/tvst.11.3.38

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976934/
https://www.ncbi.nlm.nih.gov/pubmed/35357395
http://dx.doi.org/10.1167/tvst.11.3.38

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