Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma

PURPOSE: To quantify the central visual field (VF) loss patterns in glaucoma using machine-learning. DESIGN: Retrospective study. PARTICIPANTS: 8,712 patients with 13,951 Humphrey 10–2 tests from 13,951 eyes for cross-sectional analyses, and 824 patients with at least five reliable 10–2 tests at 6 o...

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Bibliografiset tiedot
Julkaisussa:Ophthalmology
Päätekijät: Wang, Mengyu, Shen, Lucy Q., Pasquale, Louis R., Boland, Michael V., Wellik, Sarah R., De Moraes, Carlos Gustavo, Myers, Jonathan S., Nguyen, Thao, Ritch, Robert, Ramulu, Pradeep, Wang, Hui, Tichelaar, Jorryt, Li, Dian, Bex, Peter J., Elze, Tobias
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2019
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Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7246163/
https://ncbi.nlm.nih.gov/pubmed/32081491
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ophtha.2019.12.004
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