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.
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Ali, AR., Couceiro, M., Hassanien, A.E., Tolba, M.F., Snášel, V. (2014). Fuzzy C-Means Based Liver CT Image Segmentation with Optimum Number of Clusters. In: Kömer, P., Abraham, A., Snášel, V. (eds) Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014. Advances in Intelligent Systems and Computing, vol 303. Springer, Cham. https://doi.org/10.1007/978-3-319-08156-4_14
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DOI: https://doi.org/10.1007/978-3-319-08156-4_14
Publisher Name: Springer, Cham
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