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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Bibliografiset tiedot
Julkaisussa:Invest Ophthalmol Vis Sci
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: The Association for Research in Vision and Ophthalmology 2019
Aiheet:
Glaucoma
Linkit: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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