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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...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3020330/ https://www.ncbi.nlm.nih.gov/pubmed/21340208 http://dx.doi.org/10.1590/S1807-59322010001200002 |