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

  • Authors:
  • Alan J. Barton;Julio J. Valdes

  • Affiliations:
  • Institute for Information Technology, National Research Council Canada, Ottawa, ON K1A 0R6;Institute for Information Technology, National Research Council Canada, Ottawa, ON K1A 0R6

  • Venue:
  • RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
  • Year:
  • 2008

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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 100% training and 100% testing accuracy that differentiate normal versus malignant samples.