Deep learning system to predict the 5-year risk of high myopia using fundus imaging in children

Our study aims to identify children at risk of developing high myopia for timely assessment and intervention, preventing myopia progression and complications in adulthood through the development of a deep learning system (DLS). Using a school-based cohort in Singapore comprising of 998 children (age...

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Detalles Bibliográficos
Autores principales: Foo, Li Lian, Lim, Gilbert Yong San, Lanca, Carla, Wong, Chee Wai, Hoang, Quan V., Zhang, Xiu Juan, Yam, Jason C., Schmetterer, Leopold, Chia, Audrey, Wong, Tien Yin, Ting, Daniel S. W., Saw, Seang-Mei, Ang, Marcus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879938/
https://www.ncbi.nlm.nih.gov/pubmed/36702878
http://dx.doi.org/10.1038/s41746-023-00752-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879938/
https://www.ncbi.nlm.nih.gov/pubmed/36702878
http://dx.doi.org/10.1038/s41746-023-00752-8

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