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

Citation:
Abder-Rahman Ali, Micael Couceiro, A. E. Hassenian, M. F. Tolba, and V. Snasel, "Fuzzy C-Means Based Liver CT Image Segmentation with Optimum Number of Clusters", The 5th International Conference on Innovations in Bio-Inspired Computing and Applications (Springer) IBICA2014, Ostrava, Czech Republic., 22-24 June, 2014.

Date Presented:

22-24 June

Abstract:

In this paper, we investigate the e ect 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.

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