Deep Learning in Glaucoma Detection and Progression Prediction: A Systematic Review and Meta-Analysis

Deep Learning in Glaucoma Detection and Progression Prediction: A Systematic Review and Meta-Analysis

<b>Purpose:</b> To evaluate the performance of deep learning (DL) in diagnosing glaucoma and predicting its progression using fundus photography and retinal optical coherence tomography (OCT) images. <b>Materials and Methods:</b> Relevant studies published up to 30 October 20...

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Bibliographic Details
Main Authors:	Xiao Chun Ling, Henry Shen-Lih Chen, Po-Han Yeh, Yu-Chun Cheng, Chu-Yen Huang, Su-Chin Shen, Yung-Sung Lee
Format:	Article
Language:	English
Published:	MDPI AG 2025-02-01
Series:	Biomedicines
Subjects:	glaucoma deep learning artificial intelligence fundus photography optical coherence tomography diagnosis
Online Access:	https://www.mdpi.com/2227-9059/13/2/420
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