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Citació: González, F.; Belanche, Ll. Differentiation of glioblastomas and metastases using 1H-MRS spectral data. A: International Conference on Bioinformatics & Computational Biology. "The 2010 International Conference on Bioinformatics & Computational Biology". Las Vegas: 2010.
Títol: Differentiation of glioblastomas and metastases using 1H-MRS spectral data
Autor: González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio Veure Producció científica UPC
Data: 2010
Tipus de document: Conference report
Resum: Hydrogen-1 magnetic resonance spectroscopy (1H-MRS) allows noninvasive in vivo quantification of metabolite concentrations in brain tissue. In this work two of the most aggressive brain tumors are studied with the purpose of differentiating them. The challenging aspect in this task resides in that their radiological appearance is often similar, despite the fact that treatment of patients suffering these conditions is quite different. Efforts to differentiate between these two profiles are getting increasing attention, mainly because the consequences of performing an incorrect diagnosis. Due to the high dimensionality, initiatives oriented to reduce the description complexity become important. In this work we present a feature selection algorithm that generates relevant subsets of spectral frequencies. Experimental results deliver models that are both simple in terms of numbers of frequencies and show good generalization capabilities.
ISBN: 1-60132-095-7
URI: http://hdl.handle.net/2117/12317
Apareix a les col·leccions:Altres. Enviament des de DRAC
SOCO - Soft Computing. Ponències/Comunicacions de congressos
Departament de Llenguatges i Sistemes Informàtics. Ponències/Comunicacions de congressos
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