Danilo Souza

Learn More
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)
  • Chandra J Kaushik, R Vishal, D Souza
  • 2015
Testing data-centric applications is always a challenging and a time consuming task. The goal of this paper is to present a test automation framework for testing data warehouse and business intelligence applications using an open source test automation tool. An Implementation methodology for multithreaded test execution is be explained that brings down the(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)
  • 1