Detecção de lesões em imagens termográficas da mama utilizando Índice de Similaridade de Jaccard e Artificial Crawlers

• Caio Belfort UFMA
• Aristófanes Silva UFMA
• Anselmo Paiva UFMA

DOI: https://doi.org/10.5753/sbcas.2015.10388

Abstract

This paper proposes a methodology to detection of lesions in breast thermography images, helping specialists in early diagnosis helping specialists in early diagnosis of mamma cancer. The techniques of image processing, artificial life models and computational intelligence are used. The proposed methodology presented 78% of accuracy, 50% of sensitivity and 86% of specificity.

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