Comparison between Deep-Learning-Based Ultra-Wide-Field Fundus Imaging and True-Colour Confocal Scanning for Diagnosing Glaucoma

Comparison between Deep-Learning-Based Ultra-Wide-Field Fundus Imaging and True-Colour Confocal Scanning for Diagnosing Glaucoma

In this retrospective, comparative study, we evaluated and compared the performance of two confocal imaging modalities in detecting glaucoma based on a deep learning (DL) classifier: ultra-wide-field (UWF) fundus imaging and true-colour confocal scanning. A total of 777 eyes, including 273 normal co...

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Bibliographic Details
Main Authors: Younji Shin, Hyunsoo Cho, Yong Un Shin, Mincheol Seong, Jun Won Choi, Won June Lee
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Journal of Clinical Medicine
Subjects:
deep learning
image processing
glaucoma
diagnostic ability
Online Access:https://www.mdpi.com/2077-0383/11/11/3168

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https://www.mdpi.com/2077-0383/11/11/3168

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