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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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