Deep Learning-based Prediction of Axial Length Using Ultra-widefield Fundus Photography

PURPOSE: To develop a deep learning model that can predict the axial lengths of eyes using ultra-widefield (UWF) fundus photography. METHODS: We retrospectively enrolled patients who visited the ophthalmology clinic at the Seoul National University Hospital between September 2018 and December 2021....

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Detalles Bibliográficos
Autores principales: Oh, Richul, Lee, Eun Kyoung, Bae, Kunho, Park, Un Chul, Yu, Hyeong Gon, Yoon, Chang Ki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Ophthalmological Society 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151162/
https://www.ncbi.nlm.nih.gov/pubmed/36758539
http://dx.doi.org/10.3341/kjo.2022.0059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151162/
https://www.ncbi.nlm.nih.gov/pubmed/36758539
http://dx.doi.org/10.3341/kjo.2022.0059

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