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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), astigmatism (n = 89), keratoconus (n = 46) and photorefractive(More)
PURPOSE To evaluate an artificial neural network in order to correctly identify Orbscan II tests of patients with normal and keratoconus corneas. METHODS A retrospective analysis included 98 Orbscan II tests of 59 subjects and an artificial neural network was created and trained based on the Java Neural Network 1.1 software. Seventy-three tests (59 normal(More)
4 Diagnóstico do ceratocone baseado no Orbscan com o auxílio de uma rede neural TM. RESUMO INTRODUÇÃO O aumento da complexidade da prática médica, juntamente com a cres-cente incorporação de novas tecnologias, estimulou o desenvolvimento de diversos sistemas de apoio ao diagnóstico (1). Nos últimos anos a inteligência artificial vem sendo utilizada como uma(More)
This work presents an ongoing work on a new approach to perform craniometric analysis based on contactless 3D modelling of skulls. Beside the acquisition process with a 3D range sensor and initial results in the semi-automatic detection of features in the skulls, we also present some results in the development of a 3D interactive interface that eases(More)
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