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Computational and Mathematical Methods in Medicine
Volume 2014, Article ID 747549, 13 pages
http://dx.doi.org/10.1155/2014/747549
Research Article

A New Multistage Medical Segmentation Method Based on Superpixel and Fuzzy Clustering

1School of Computer Science and Technology, Shandong University, Jinan 250101, China
2College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan 250355, China

Received 22 November 2013; Accepted 9 January 2014; Published 9 March 2014

Academic Editor: Yuanjie Zheng

Copyright © 2014 Shiyong Ji et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [11 citations]

The following is the list of published articles that have cited the current article.

  • Alaa Salah El-Din Mohamed, Mohammed A.M. Salem, Doaa Hegazy, and Howida A. Shedeed, “Probablistic-based framework for medical CT images segmentation,” 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS), pp. 149–155, . View at Publisher · View at Google Scholar
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