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Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 485495, 12 pages
http://dx.doi.org/10.1155/2015/485495
Research Article

Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy -Means Clustering

1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Boulevard, Shenzhen 518055, China
2University of Chinese Academy of Sciences, 52 Sanlihe Road, Beijing 100864, China
3Faculty of Computers and Information, Mansoura University, Elgomhouria Street, Mansoura 35516, Egypt

Received 29 September 2015; Accepted 23 November 2015

Academic Editor: Jesús Picó

Copyright © 2015 Ahmed Elazab 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.

How to Cite this Article

Ahmed Elazab, Changmiao Wang, Fucang Jia, Jianhuang Wu, Guanglin Li, and Qingmao Hu, “Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy -Means Clustering,” Computational and Mathematical Methods in Medicine, vol. 2015, Article ID 485495, 12 pages, 2015. https://doi.org/10.1155/2015/485495.