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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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| Publicado no: | Ophthalmol Glaucoma |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | 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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