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Patterns of Glaucomatous Visual Field Loss in Sita Fields Automatically Identified Using Independent Component Analysis

PURPOSE: To determine if the patterns uncovered with variational Bayesian–independent component analysis–mixture model (VIM) applied to a large set of normal and glaucomatous fields obtained with the Swedish Interactive Thresholding Algorithm (SITA) are distinct, recognizable, and useful for modelin...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Goldbaum, Michael H., Jang, Gil-Jin, Bowd, Chris, Hao, Jiucang, Zangwill, Linda M., Liebmann, Jeffrey, Girkin, Christopher, Jung, Tzyy-Ping, Weinreb, Robert N., Sample, Pamela A.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: The American Ophthalmological Society 2009
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC2814563/
https://ncbi.nlm.nih.gov/pubmed/20126490
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