An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis

PURPOSE: To detect visual field (VF) progression by analyzing spatial pattern changes. METHODS: We selected 12,217 eyes from 7360 patients with at least five reliable 24-2 VFs and 5 years of follow-up with an interval of at least 6 months. VFs were decomposed into 16 archetype patterns previously de...

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Dades bibliogràfiques
Publicat a:Invest Ophthalmol Vis Sci
Autors principals: Wang, Mengyu, Shen, Lucy Q., Pasquale, Louis R., Petrakos, Paul, Formica, Sydney, Boland, Michael V., Wellik, Sarah R., De Moraes, Carlos Gustavo, Myers, Jonathan S., Saeedi, Osamah, Wang, Hui, Baniasadi, Neda, Li, Dian, Tichelaar, Jorryt, Bex, Peter J., Elze, Tobias
Format: Artigo
Idioma:Inglês
Publicat: The Association for Research in Vision and Ophthalmology 2019
Matèries:
Glaucoma
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6348996/
https://ncbi.nlm.nih.gov/pubmed/30682206
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/iovs.18-25568
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