Progression of Patterns (POP): A Machine Classifier Algorithm to Identify Glaucoma Progression in Visual Fields

PURPOSE. We evaluated Progression of Patterns (POP) for its ability to identify progression of glaucomatous visual field (VF) defects. METHODS. POP uses variational Bayesian independent component mixture model (VIM), a machine learning classifier (MLC) developed previously. VIM separated Swedish Int...

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Bibliografski detalji
Glavni autori: Goldbaum, Michael H., Lee, Intae, Jang, Giljin, Balasubramanian, Madhusudhanan, Sample, Pamela A., Weinreb, Robert N., Liebmann, Jeffrey M., Girkin, Christopher A., Anderson, Douglas R., Zangwill, Linda M., Fredette, Marie-Josee, Jung, Tzyy-Ping, Medeiros, Felipe A., Bowd, Christopher
Format: Artigo
Jezik:Inglês
Izdano: The Association for Research in Vision and Ophthalmology 2012
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Articles
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3460386/
https://ncbi.nlm.nih.gov/pubmed/22786913
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/iovs.11-8363
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