Márta Tóth

Gábor Holló2
Pinakin Gunvant1
2Gábor Holló
1Pinakin Gunvant
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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 two-dimensional images converted from one-dimensional retinal nerve fiber layer (RNFL) data obtained from the eyes of normal subjects, and from subjects with progressive and non-progressive glaucoma. FA(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)
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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