Evaluation of machine learning classifiers in keratoconus detection from orbscan II examinations

Evaluation of machine learning classifiers in keratoconus detection from orbscan II examinations

PURPOSE: To evaluate the performance of support vector machine, multi-layer perceptron and radial basis function neural network as auxiliary tools to identify keratoconus from Orbscan II maps. METHODS: A total of 318 maps were selected and classified into four categories: normal (n = 172), astigmati...

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Bibliographic Details
Main Authors: Murilo Barreto Souza, Fabricio Witzel Medeiros, Danilo Barreto Souza, Renato Garcia, Milton Ruiz Alves
Format: Article
Language:English
Published: Elsevier España 2010-01-01
Series:Clinics
Subjects:
Neural networks
Artificial intelligence
Clinical decision support systems
Corneal topography
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322010001200002

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322010001200002

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