An automatic liver segmentation algorithm based on grow cut and level sets
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Organ segmentation is often a first step in medical diagnostic. In this paper a fully automatic three-dimensional method for liver segmentation is presented. It is based on voxel density analysis with use of automated grow cut method. Obtained segmentation is then refined by active contours model.
Keywordsimage segmentation grow-cut active contours liver
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- 3.C. Florin, N. Paragios, G. Funka-Lea, and J. Williams, “Liver segmentation using sparse 3D prior models with optimal data support,” in Proc. 20th Int. Conf. on Information Processing in Medical Imaging (IPMI’07), Ed. by N. Karssemeijer and B. Lelieveldt (Springer-Verlag, Berlin, Heidelberg, 2007), pp. 38–49.CrossRefGoogle Scholar
- 4.V. Vezhnevets and V. Konouchine, ““GrowCut” - interactive multi-label N-D image segmentation by cellular automata,” in Proc. Graphicon (Novosibirsk, 2005), pp. 150–156.Google Scholar
- 7.M. Šonka, V. Hlaváč, and R. Boyle, Image Processing, Analysis and Machine Vision, 3rd ed. (Thomson Learning, Toronto, 2007).Google Scholar