Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis

Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis

ObjectiveTo systematically review and meta-analyze the effectiveness of deep learning algorithms applied to optical coherence tomography (OCT) and retinal images for the detection of diabetic retinopathy (DR).MethodsWe conducted a comprehensive literature search in multiple databases including PubMe...

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Bibliographic Details
Main Authors: Zheng Bi, Jinju Li, Qiongyi Liu, Zhaohui Fang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Endocrinology
Subjects:
meta analysis
deep learning
diabetic retinopathy
image detection
optical coherence tomography
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1485311/full
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