Smartphone-Acquired Anterior Segment Images for Deep Learning Prediction of Anterior Chamber Depth: A Proof-of-Concept Study

PURPOSE: To develop a deep learning (DL) algorithm for predicting anterior chamber depth (ACD) from smartphone-acquired anterior segment photographs. METHODS: For algorithm development, we included 4,157 eyes from 2,084 Chinese primary school students (aged 11–15 years) from Mojiang Myopia Progressi...

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Detalles Bibliográficos
Autores principales: Qian, Chaoxu, Jiang, Yixing, Soh, Zhi Da, Sakthi Selvam, Ganesan, Xiao, Shuyuan, Tham, Yih-Chung, Xu, Xinxing, Liu, Yong, Li, Jun, Zhong, Hua, Cheng, Ching-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259953/
https://www.ncbi.nlm.nih.gov/pubmed/35814744
http://dx.doi.org/10.3389/fmed.2022.912214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259953/
https://www.ncbi.nlm.nih.gov/pubmed/35814744
http://dx.doi.org/10.3389/fmed.2022.912214

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