Algoritmo de Otimização por Colônia de Formigas aplicado em Imagens de Tomografia Computadorizada para Detecção de AVC Hemorrágico

This paper presents an use of Ant Colony Optimization (ACO) algorithm for detection of hemorrhagic stroke (CVA) in computed tomography (CT) brain images. ACO and classes of the algorithm k-means were used to segment hemorrhagic area of the images, and this detection was performed with minimal processing time. Thus, was possible to create a computational tool (CAD - Computer-Aided Detection / Diagnostic) to assist health professionals in the detection of HCV, especially in health services that are not specialized in radiology. Great results were obtained, such as a processing time of 1 minute and 15 seconds for the set of 22 patient images, a sensitivity, specificity and accuracy of 100 % per patient for the database used.