Título: Diagnóstico de Câncer de Cabeça e Pescoço Baseado em Redes Neurais e Dados de Impedanciometria
Autores: Amaral, Carlos Eduardo Ferrante; Hara, Marcos Santos; Lopes, Heitor Silvério; Arruda, Lúcia Valéria Ramos; Gonçalves, Antonio José; Dias, Adilson Alves
Resumo: This work reports the use of Neural Networks for classification of healthy and cancerous patients (head and neck cancer), based on anthropometrical and bioimpedance data. Using the proposed system, an accuracy rate of 85% was achieved, demonstrating the viability of this method. This result encourages the utilization of Neural Networks as classifiers using patient’s bioimpedance data as input. This technique allows early diagnose of cancer, when the prognosis can be better, therefore changing the cource of disease or suggesting a better treatment option.
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Páginas: 14
Código DOI: 10.21528/CBRN2003-033
Artigo em PDF: 6CBRN_033.PDF
Arquivo BibTex: 6CBRN_033.bib