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

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TypeArticle
ConferenceComputational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers, December 2008.
AbstractComputational 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.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number50395
NPARC number5763386
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Record identifier20398767-19f2-450c-95c9-5b80ef2771c1
Record created2009-03-29
Record modified2016-05-09
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