Incorporating Spatial Models in Visual Field Test Procedures
نویسندگان
چکیده
منابع مشابه
Incorporating Spatial Models in Visual Field Test Procedures
PURPOSE To introduce a perimetric algorithm (Spatially Weighted Likelihoods in Zippy Estimation by Sequential Testing [ZEST] [SWeLZ]) that uses spatial information on every presentation to alter visual field (VF) estimates, to reduce test times without affecting output precision and accuracy. METHODS SWeLZ is a maximum likelihood Bayesian procedure, which updates probability mass functions at...
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ژورنال
عنوان ژورنال: Translational Vision Science & Technology
سال: 2016
ISSN: 2164-2591
DOI: 10.1167/tvst.5.2.7