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Neural networks and statistical analysis for classification of corneal videokeratography maps based on Zernike coefficients: a quantitative comparison

Vieira de Carvalho, Luis Alberto; Barbosa, Marconi


Purpose: The main goal of this study was to develop and compare two different techniques for classification of specific types of corneal shapes when Zernike coefficients are used as inputs. A feed-forward artificial Neural Network (NN) and discriminant analysis (DA) techniques were used. Methods: The inputs both for the NN and DA were the first 15 standard Zernike coefficients for 80 previously classified corneal elevation data files from an Eyesys System 2000 Videokeratograph (VK), installed...[Show more]

CollectionsANU Research Publications
Date published: 2008
Type: Journal article
Source: Arquivos Brasileiros de Oftalmologia
DOI: 10.1590/S0004-27492008000300006


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