Deep Learning Approaches Predict Glaucomatous Visual Field Damage from Optical Coherence Tomography Optic Nerve Head Enface Images and Retinal Nerve Fiber Layer Thickness Maps

PURPOSE: To develop and evaluate a deep learning system for differentiating between eyes with and without glaucomatous visual field damage (GVFD) and predicting the severity of GFVD from spectral domain optical coherence tomography (SDOCT) optic nerve head images. DESIGN: Evaluation of a diagnostic...

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Publicado no:Ophthalmology
Main Authors: Christopher, Mark, Bowd, Christopher, Belghith, Akram, Goldbaum, Michael H., Weinreb, Robert N., Fazio, Massimo A., Girkin, Christopher A., Liebmann, Jeffrey M., Zangwill, Linda M.
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8063221/
https://ncbi.nlm.nih.gov/pubmed/31718841
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ophtha.2019.09.036
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