Feature Selection with Single-Layer Perceptrons for a multicentre 1H-MRS brain tumour database

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/10946

dc.contributor	Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.contributor	Universitat Politècnica de Catalunya. SOCO - Soft Computing
dc.contributor.author	Romero Merino, Enrique
dc.contributor.author	Vellido Alcacena, Alfredo
dc.contributor.author	Sopena, Josep Maria
dc.date	2009-06-12
dc.identifier.citation	Romero, E.; Vellido, A.; Sopena, J. Feature Selection with Single-Layer Perceptrons for a multicentre 1H-MRS brain tumour database. "Lecture notes in computer science", 12 Juny 2009, vol. 5517, p. 1013-1020.
dc.identifier.citation	0302-9743
dc.identifier.citation	10.1007/978-3-642-02478-8_127
dc.identifier.uri	http://hdl.handle.net/2117/10946
dc.language.iso	eng
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject	Brain -- Tumors -- Diagnosis
dc.subject	Medical informatics
dc.subject	Decision support systems
dc.subject	Cervell -- Tumors
dc.subject	Informàtica mèdica
dc.subject	Sistemes d'ajuda a la decisió
dc.title	Feature Selection with Single-Layer Perceptrons for a multicentre 1H-MRS brain tumour database
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/article
dc.description.abstract	A Feature Selection process with Single-Layer Perceptrons is shown to provide optimum discrimination of an international, multi-centre 1H-MRS database of brain tumors at reasonable computational cost. Results are both intuitively interpretable and very accurate. The method remains simple enough as to allow its easy integration in existing medical decision support systems.

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