Heart atherosclerosis detection using FCM+kMeans Algorithm

Abstract

This paper presented the methodology to apply segmentation techniques on human heart atherosclerosis images using a hybrid segmentation methods with FCM+kmeans combined segmentation algorithm. Coronary heart disease (CHD) can be caused by atherosclerosis as one of its primary reason. Cardiovascular diseases are significant causes of mortality in the world. The proposed methodology for atherosclerosis segmentation for medical image performs better with some advantages, like improved sensitivity, specificity and accuracy of segmentation. Thus overall performance metrics of the new combined algorithm.