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Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/91F093D4-8436-49F7-B84F-2D059E032A59 | ||
| Year | 2008 | ||
| Type of Item | Conference Full Paper | ||
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| Bibliographic Citation | M.G. Kounelakis, M.E.Zervakis, M.E. Blazadonakis, G.J. Postma, L.M.C. Buydens, A. Heerschap, X. Kotsiakis ,"Feature selection for brain tumour classification using ratios of metabolites' peak areas from MRSI data,"in 6th European Symposium on Biomedical Engineering ESBME,2008, pp.1-6. | ||
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The main goal of this study was threefold. Firstly, to investigate the significance of the brain metabolites' peak area Ratios derived from the MRSI spectra provided, by performing brain tumor binary classification and comparing the result with those obtained by using only the metabolites' Peak Amplitudes. Secondly to measure the influence of the four magnetic resonance image intensities (MRI) on the classification process and thirdly to estimate the minimum but also biologically significant set of features
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