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Effect of a Variability-Adjusted Algorithm on the Efficiency of Perimetric Testing

PURPOSE. Variability in perimetry increases with the amount of damage, making it difficult for testing algorithms to efficiently converge to the true sensitivity. This study describes a variability-adjusted algorithm (VAA), in which step size increases with variability. METHODS. Contrasts were trans...

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Hlavní autor: Gardiner, Stuart K.
Médium: Artigo
Jazyk:Inglês
Vydáno: The Association for Research in Vision and Ophthalmology 2014
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On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4012942/
https://ncbi.nlm.nih.gov/pubmed/24713484
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/iovs.14-14120
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