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Computational and Mathematical Methods in Medicine
Volume 2013 (2013), Article ID 619658, 10 pages
http://dx.doi.org/10.1155/2013/619658
Research Article

Classification of Cerebral Lymphomas and Glioblastomas Featuring Luminance Distribution Analysis

1School of Electrical and Computer Engineering, Cornell University, Phillips Hall, Ithaca, NY 14853-5401, USA
2Department of Information and Communications Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
3Department of Diagnostic Radiology, Kumamoto University, 1-1-1 Honjo, Kumamoto City, Kumamoto 860-8556, Japan
4Department of Medical Imaging, Kumamoto University, 4-24-1 Kuhonji, Kumamoto City, Kumamoto 862-0976, Japan

Received 17 January 2013; Accepted 20 May 2013

Academic Editor: Yi-Hong Chou

Copyright © 2013 Toshihiko Yamasaki 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 [2 citations]

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

  • Zhangjing Yang, Piaopiao Feng, Tian Wen, Xunning Hong, and Minghua Wan, “Differentiation of glioblastoma and lymphoma using feature extraction and support vector machine,” CNS and Neurological Disorders - Drug Targets, vol. 16, no. 2, pp. 160–168, 2016. View at Publisher · View at Google Scholar
  • P. Alcaide-Leon, P. Dufort, A.F. Geraldo, L. Alshafai, P.J. Maralani, J. Spears, and A. Bharatha, “Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning,” American Journal of Neuroradiology, vol. 38, no. 6, pp. 1145–1150, 2017. View at Publisher · View at Google Scholar