Identificação de AVCi utilizando Extração de Características e uma rede MLP em Imagens de CT

Stroke is one of the diseases that causes more deaths and physical disabilities in worldwide. The most common method for identifying regions affected by stroke is the computed tomography(CT) scan. The present study aims identify ischemic stroke, using the Haralick descriptorand an artificial neuralnetwork in the CT images. The best results obtained correspondto an accuracy of 73.42%, sensitivity of 74.86%, precision of72.83%, and F1-score of 73.83%.