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Feature selection for brain tumour classification using ratios of metabolites' peak areas from MRSI data

A. Heerschap, Zervakis Michalis, G.J. Postma, L.M.C. Buydens, M.E. Blazadonakis

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/91F093D4-8436-49F7-B84F-2D059E032A59
Έτος 2008
Τύπος Πλήρης Δημοσίευση σε Συνέδριο
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά 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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Περίληψη

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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