Keratoconus Screening Based on Deep Learning Approach of Corneal Topography

PURPOSE: To develop and compare deep learning (DL) algorithms to detect keratoconus on the basis of corneal topography and validate with visualization methods. METHODS: We retrospectively collected corneal topographies of the study group with clinically manifested keratoconus and the control group w...

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Detalles Bibliográficos
Autores principales: Kuo, Bo-I, Chang, Wen-Yi, Liao, Tai-Shan, Liu, Fang-Yu, Liu, Hsin-Yu, Chu, Hsiao-Sang, Chen, Wei-Li, Hu, Fung-Rong, Yen, Jia-Yush, Wang, I-Jong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533740/
https://www.ncbi.nlm.nih.gov/pubmed/33062398
http://dx.doi.org/10.1167/tvst.9.2.53

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533740/
https://www.ncbi.nlm.nih.gov/pubmed/33062398
http://dx.doi.org/10.1167/tvst.9.2.53

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