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The Scientific World Journal
Volume 2014, Article ID 970287, 8 pages
http://dx.doi.org/10.1155/2014/970287
Research Article

A New Approach for Clustered MCs Classification with Sparse Features Learning and TWSVM

School of Management, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, China

Received 10 August 2013; Accepted 14 November 2013; Published 9 February 2014

Academic Editors: Y. Lu, J. Shu, and F. Yu

Copyright © 2014 Xin-Sheng Zhang. 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 [5 citations]

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

  • John Arevalo, Fabio A. Gonzalez, Raul Ramos-Pollan, Jose L. Oliveira, and Miguel Angel Guevara Lopez, “Convolutional neural networks for mammography mass lesion classification,” 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 797–800, . View at Publisher · View at Google Scholar
  • Xinsheng Zhang, Naining Cao, Hongyan He, and Zhengshan Luo, “Hybrid subspace fusion for microcalcification clusters detection,” Journal of Fiber Bioengineering and Informatics, vol. 8, no. 1, pp. 161–169, 2015. View at Publisher · View at Google Scholar
  • Gwenole Quellec, Mathieu Lamard, Michel Cozic, Gouenou Coatrieux, and Guy Cazuguel, “Multiple-Instance Learning for Anomaly Detection in Digital Mammography,” IEEE Transactions on Medical Imaging, vol. 35, no. 7, pp. 1604–1614, 2016. View at Publisher · View at Google Scholar
  • John Arevalo, Fabio A. Gonzalez, Raul Ramos-Pollan, Jose L. Oliveira, and Miguel Angel Guevara Lopez, “Representation learning for mammography mass lesion classification with convolutional neural networks,” Computer Methods And Programs In Biomedicine, vol. 127, pp. 248–257, 2016. View at Publisher · View at Google Scholar
  • Saranyaraj D., Manikandan M., and Maheswari S., “A deep convolutional neural network for the early detection of breast carcinoma with respect to hyper- parameter tuning,” Multimedia Tools and Applications, 2018. View at Publisher · View at Google Scholar