Diagnóstico da sífilis auxiliado por computador: proposta de um método híbrido fuzzy neural para análise de imagem de fluorescência. / Diagnosis of syphilis computer aided: proposal of a fuzzy neural hybrid method for image analysis of fluorescence.

AUTOR(ES)
FONTE

IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia

DATA DE PUBLICAÇÃO

02/08/2011

RESUMO

In this work we have developed a prototype to analyze fluorescence microscopy images obtained from the FTA-ABS. This test is used as confirmation of the diagnosis of syphilis by identifying the bacteria causing the disease. A considerable problem in the analysis of such images is the subjectivity in the interpretation of fluorescence intensity shown, because there is not a formal description of this value, another difficulty is the low contrast between the object of study and the background and finally the distribution of fluorescence on bacteria is not uniform. The proposed methodology for the diagnosis by means of image analysis consists of three stages. The first step is to image processing. For such algorithms are used to increase the contrast between the background image and the object under study. It follows the completion of the segmentation of the image, using algorithms for binarization and region growing. The second step is performed for the classification of pixels into color groups predefined by using Artificial Neural Networks trained with the Backpropagation algorithm. At this stage several neural networks are trained and tested to classify pixels into five classes of different colors. The interpretation of these colors in the third step is accomplished through the use of fuzzy techniques.

ASSUNTO(S)

artificial intelligence computional intelligence inteligência artificial inteligência computacional

ACESSO AO ARTIGO

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