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The dual snake segmentation procedure and pruned association rule with improved Apriori algorithm has been used in this paper to develop a common carotid image classification. The low level features extracted from the ultrasound common carotid artery images and high level knowledge from specialists were used to enhance the accuracy in decision process. The experimental results showed 97% specificity, 98% sensitivity and 99% accuracy. The proposed algorithm was required to serve the humans fordoi:10.7897/2230-8407.08578 fatcat:d4wbcrbgarhe7glwyqnossqkla