Breast cancer MRI diagnosis approach using support vector machine and pulse coupled neural networks. Hassanien, A. E. & Kim, T. J. Applied Logic, 10(4):277-284, 2012.
Breast cancer MRI diagnosis approach using support vector machine and pulse coupled neural networks. [link]Link  Breast cancer MRI diagnosis approach using support vector machine and pulse coupled neural networks. [link]Paper  bibtex   
@article{journals/japll/HassanienK12,
  added-at = {2012-12-04T00:00:00.000+0100},
  author = {Hassanien, Aboul Ella and Kim, Tai-Hoon},
  biburl = {https://www.bibsonomy.org/bibtex/26c351f7258239212bb4ded5bd95dfddb/dblp},
  ee = {http://dx.doi.org/10.1016/j.jal.2012.07.003},
  interhash = {1989828684bf7f34acd73c9a9b68b8cc},
  intrahash = {6c351f7258239212bb4ded5bd95dfddb},
  journal = {J. Applied Logic},
  keywords = {dblp},
  number = 4,
  pages = {277-284},
  timestamp = {2012-12-05T11:37:50.000+0100},
  title = {Breast cancer MRI diagnosis approach using support vector machine and pulse coupled neural networks.},
  url = {http://dblp.uni-trier.de/db/journals/japll/japll10.html#HassanienK12},
  volume = 10,
  year = 2012
}

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