Article

Deriving OCT-Equivalent Retinal Nerve Fiber Layer Thickness Maps from Fundus Photographs with Deep Learning Improves Glaucoma Diagnosis

2026-05-27

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Purpose</h4> To develop and evaluate a deep learning model that predicts optical coherence tomography (OCT)–equivalent retinal nerve fiber layer thickness (RNFLT) maps directly from color fundus photographs and to assess their diagnostic value for glaucoma detection. <h4>Design</h4> Retrospective model development and evaluation study. <h4>Participants</h4> 15,031 paired fundus photograph...

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Literature Corpus work: 42fb88c8-6d6d-530a-bcfb-762401bdc855
DOI: 10.64898/2026.05.26.26354047

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