URI | http://purl.tuc.gr/dl/dias/91F093D4-8436-49F7-B84F-2D059E032A59 | - |
Language | en | - |
Extent | 6 pages | en |
Title | Feature selection for brain tumour classification using ratios of metabolites' peak areas from MRSI data
| en |
Creator | A. Heerschap | en |
Creator | Zervakis Michalis | en |
Creator | Ζερβακης Μιχαλης | el |
Creator | G.J. Postma | en |
Creator | L.M.C. Buydens | en |
Creator | M.E. Blazadonakis | en |
Content Summary | 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 | en |
Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
Type of Item | Conference Full Paper | en |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2015-10-25 | - |
Date of Publication | 2008 | - |
Subject | Basic medical sciences | en |
Subject | Basic sciences, Medical | en |
Subject | Biomedical sciences | en |
Subject | Health sciences | en |
Subject | Preclinical sciences | en |
Subject | Sciences, Medical | en |
Subject | medical sciences | en |
Subject | basic medical sciences | en |
Subject | basic sciences medical | en |
Subject | biomedical sciences | en |
Subject | health sciences | en |
Subject | preclinical sciences | en |
Subject | sciences medical | en |
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. | en |