Detection of shallow anterior chamber depth from two-dimensional anterior segment photographs using deep learning

Detection of shallow anterior chamber depth from two-dimensional anterior segment photographs using deep learning

Abstract Background The purpose of this study was to implement and evaluate a deep learning (DL) approach for automatically detecting shallow anterior chamber depth (ACD) from two-dimensional (2D) overview anterior segment photographs. Methods We trained a DL model using a dataset of anterior segmen...

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Bibliographic Details
Main Authors: Zhuyun Qian, Xiaoling Xie, Jianlong Yang, Hongfei Ye, Zhilei Wang, Jili Chen, Hui Liu, Jianheng Liang, Lihong Jiang, Ce Zheng, Xu Chen
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Ophthalmology
Subjects:
Deep learning
Anterior chamber depth
Anterior segment photographs
Online Access:https://doi.org/10.1186/s12886-021-02104-0

Internet

https://doi.org/10.1186/s12886-021-02104-0

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