Summary
In the current study a modification of the live-wire approach to image segmentation has been developed. A Fuzzy C-Means (FCM) clustering procedure has been implemented before the cost map function is defined. This shrinks the area to be searched resulting in a significant reduction of the computational complexity. The method has been employed to Computed Tomography (CT) studies. Segmentation of the abdomen structures has been performed in order to evaluate the method.
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Więcławek, W., Piętka, E. (2008). Fuzzy Clustering in Segmentation of Abdominal Structures Based on CT Studies. In: Pietka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Soft Computing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68168-7_9
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DOI: https://doi.org/10.1007/978-3-540-68168-7_9
Publisher Name: Springer, Berlin, Heidelberg
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