| Download | - View accepted manuscript: Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers (PDF, 347 KiB)
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| Author | Search for: Barton, Alan; Search for: Valdés, Julio |
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| Format | Text, Article |
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| Conference | Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers, December 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. |
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| Publication date | 2008 |
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| In | |
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| Language | English |
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| NRC number | NRCC 50395 |
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| NPARC number | 5763386 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 20398767-19f2-450c-95c9-5b80ef2771c1 |
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| Record created | 2009-03-29 |
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| Record modified | 2020-08-12 |
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