Amr R. Abdel-Dayem and Mahmoud R. El-Sakka, "Fuzzy C-Means Clustering for Segmenting Carotid Artery Ultrasound Images", International Conference on Image Analysis and Recognition, ICIAR'2007, LNCS 4633, pp. 935-948, Springer-Verlag Berlin Heidelberg, August 2007, Montreal, Canada.
Abstract
This paper introduces a fully automated segmentation scheme for carotid artery ultrasound images. The proposed scheme is based on fuzzy c-means clustering. It consists of four major stages. These stages are pre-processing, feature extraction, fuzzy c-means clustering, and finally boundary extraction. Experimental results demonstrated the efficiency of the proposed scheme in segmenting carotid artery ultrasound images.