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Effect of feature extraction for brain tumor classification based on short echo time 1H MR spectra

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Effect of feature extraction for brain tumor classification based on short echo time 1H MR spectra

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Luts, J.; Poullet, J.; Garcia-Gomez, JM.; Heerschap, A.; Robles, M.; Suykens, JA.; Van Huffel, S. (2008). Effect of feature extraction for brain tumor classification based on short echo time 1H MR spectra. Magnetic Resonance in Medicine. 60(2):288-298. https://doi.org/10.1002/mrm.21626

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/151315

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Title: Effect of feature extraction for brain tumor classification based on short echo time 1H MR spectra
Author: Luts, Jan Poullet, Jean-Baptiste Garcia-Gomez, Juan M Heerschap, Arend Robles, Montserrat Suykens, Johan A.K. Van Huffel, Sabine
UPV Unit: Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Issued date:
Abstract:
[EN] This study examines the effect of feature extraction methods prior to automated pattern recognition based on magnetic resonance spectroscopy (MRS) for brain tumor diagnosis. Since individual inspection of spectra is ...[+]
Subjects: Brain tumors , Feature extraction , Classification , Decision support system (DSS) , Magnetic resonance spectroscopy (MRS) , Magnetic resonance spectroscopic imaging (MRSI)
Copyrigths: Cerrado
Source:
Magnetic Resonance in Medicine. (issn: 0740-3194 )
DOI: 10.1002/mrm.21626
Publisher:
John Wiley & Sons
Publisher version: https://doi.org/10.1002/mrm.21626
Project ID:
EC/FP6-2002-LIFESCIHEALTH 503094
...[+]
EC/FP6-2002-LIFESCIHEALTH 503094
EC/FP6-2005-IST 027213
EC/FP6-2002-IST 508803
BELSPO/IUAP P6/04
FWO/G.0360.05
FWO/G.0519.06
FWO/G.0341.07
FWO/G.0321.06
FWO/G.0302.07
EC/IST-1999-10310
EC/FP6-019279-2
ESA/Prodex-8 C90242
Belgian Federal Government/IUAP IV-02
Belgian Federal Government/IUAP V-22
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Thanks:
The authors thank the Institute for Molecules and Materials, Analytical Chemistry, Chemometrics Research Department of the Radboud University Nijmegen for preprocessing the MRSI data. Margarida Julia-Sape is gratefully ...[+]
Type: Artículo

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