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Lucio Flavio de Albuquerque Campos.pdf: 558329 bytes, checksum: 1be43a8cd03ed147f8b5187d7e538e5a (MD5)
Previous issue date: 2006-03-24 === We 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. === Neste trabalho, propomos um método para discriminação e classificação de
mamogramas, com diagnóstico maligno, benigno e normal, usando análise de componentes
independentes e redes neurais. O método foi testado com mamogramas da MIAS database,
e com redes perceptron multicamadas. O método obteve uma taxa de sucesso média de
97.83%, com 97.5% de especificidade, e 98% de sensibilidade.
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