Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers

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@InProceedings{DBLP:conf/rsctc/BartonV08,
  author =       "Alan J. Barton and Julio J. Valdes",
  title =        "Computational Intelligence Techniques Applied to
                 Magnetic Resonance Spectroscopy Data of Human Brain
                 Cancers",
  booktitle =    "Proceedings of the 6th International Conference on
                 Rough Sets and Current Trends in Computing, RSCTC
                 2008",
  editor =       "Chien-Chung Chan and Jerzy W. Grzymala-Busse and 
                 Wojciech Ziarko",
  series =       "Lecture Notes in Computer Science",
  volume =       "5306",
  year =         "2008",
  pages =        "485--494",
  address =      "Akron, OH, USA",
  month =        oct # " 23-25",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-540-88423-1",
  DOI =          "doi:10.1007/978-3-540-88425-5_50",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  abstract =     "Computational intelligence techniques were applied to
                 human brain cancer magnetic resonance spectral data. In
                 particular, two approaches, Rough Sets and a Genetic
                 Programming-based Neural Network were investigated and
                 then confirmed via a systematic Individual
                 Dichotomization algorithm. Good preliminary results
                 were obtained with 100percent training and 100percent
                 testing accuracy that differentiate normal versus
                 malignant samples.",
}

Genetic Programming entries for Alan J Barton Julio J Valdes

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