engleski

CT image labeling using hopfield neural network

In this work, a method for the computed tomography (CT) image labeling is presented. CT images used in this work are obtained from patients having the spontaneous intra cerebral hemorrhage (ICH). The images are segmented into three tissue classes (skull, brain, and ICH) and the background. The method consists of two steps. In the the first step, the image is divided into a number of regions using the K-means clustering algorithm. Regions used are dark, medium dark and bright region. In the second step, the regions are labeled using the modified Hopfield neural network.

computed tomography; image segmentation; hopfield neural network

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