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Forecasting Retinal Nerve Fiber Layer Thickness from Multimodal Temporal Data Incorporating OCT Volumes

PURPOSE: The purpose of this study was to develop a machine learning model to forecast future circumpapillary retinal nerve fiber layer (cpRNFL) thickness in eyes of healthy, glaucoma suspect, and glaucoma participants from multimodal temporal data. DESIGN: Retrospective analysis of a longitudinal c...

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Bibliografski detalji
Izdano u:Ophthalmol Glaucoma
Glavni autori: Sedai, Suman, Antony, Bhavna, Ishikawa, Hiroshi, Wollstein, Gadi, Schuman, Joel S., Garnavi, Rahil
Format: Artigo
Jezik:Inglês
Izdano: 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7346776/
https://ncbi.nlm.nih.gov/pubmed/32647810
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ogla.2019.11.001
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