Márta Tóth

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AIM To investigate the potential advantage of an enhanced corneal compensation algorithm (ECC) compared with variable corneal compensation (VCC) in the analysis of scanning laser polarimetric (SLP) images with atypical retardation pattern (ARP). METHODS SLP-VCC images with ARP (typical scan score (TSS) <80) of one eye of each of 27 glaucoma patients and(More)
PURPOSE (1) To evaluate and compare the classification performance of Wavelet-Fourier analysis (WFA), Fast-Fourier analysis (FFA), and the standard GDx-variable corneal compensator (VCC) output in identifying glaucomatous eyes from a mixed group of healthy and glaucomatous eyes with atypical retardation pattern (ARP). (2) To investigate if classification(More)
We investigate the use of fractal analysis (FA) as the basis of a system for multiclass prediction of the progression of glaucoma. FA is applied to pseudo 2-D images converted from 1-D retinal nerve fiber layer data obtained from the eyes of normal subjects, and from subjects with progressive and nonprogressive glaucoma. FA features are obtained using a(More)
Five eyes with myelinated retinal nerve fibers were imaged using a scanning laser polarimeter with variable corneal compensation and with enhanced corneal compensation (a new research software). Using variable corneal compensation, areas of myelinated retinal nerve fibers uniformly appeared as areas of increased retardation. Using enhanced corneal(More)
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