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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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Xehetasun bibliografikoak
Argitaratua izan da:Ophthalmology
Egile Nagusiak: Christopher, Mark, Bowd, Christopher, Belghith, Akram, Goldbaum, Michael H., Weinreb, Robert N., Fazio, Massimo A., Girkin, Christopher A., Liebmann, Jeffrey M., Zangwill, Linda M.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2019
Gaiak:
Sarrera elektronikoa: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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