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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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| Main Authors: | , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The American Ophthalmological Society
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2814563/ https://ncbi.nlm.nih.gov/pubmed/20126490 |
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