2016-08-172007-09-122006-03-24CAMPOS, Lucio Flavio de Albuquerque. Classification of Digital Injuries in examination of breast cancer Using Analysis of Components Independentes and multilayers Perceptron. 2006. 61 f. Dissertação (Mestrado em Engenharia) - Universidade Federal do Maranhão, São Luis, 2006.http://tedebc.ufma.br:8080/jspui/handle/tede/344We propose a method for discrimination and classification of mammograms with benign, malignant and normal tissues using independent component analysis and neural networks. The method was tested for a mammogram set from MIAS database, and multilayer perceptron. The method obtained a success rate of 97.83% , with 97.5% of specificity and 98% of sensitivity.application/pdfAcesso Abertomamogramacâncer de mamaanálise de componentes independentesdiagnóstico auxiliado por computadorMammogrambreast cancerindependent component analysisneural networkscomputer aided diagnosisCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOClassificação de Lesões em Mamografias Digitais Utilizando Análise de Componentes Independentes e Perceptron MulticamadasClassification of Digital Injuries in examination of breast cancer Using Analysis of Components Independentes and multilayers PerceptronDissertação