Fuzzy C-Means Based Liver CT Image Segmentation with Optimum Number of Clusters

Abstract

In this paper, we investigate the effect of using an optimum number of clusters with Fuzzy C-Means clustering, for Liver CT image segmentation. The optimum number of clusters to be used was measured using the average silhouette value. The evaluation was carried out using the Jaccard index, in which we concluded that using the optimum number of clusters may not necessarily lead to the best segmentation results. © Springer International Publishing Switzerland 2014.