Discriminating glioblastomas from metastases in a SV1H-MRS brain tumour database

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Title:	Discriminating glioblastomas from metastases in a SV1H-MRS brain tumour database
Author:	Romero Merino, Enrique; Vellido Alcacena, Alfredo; Julià Sapé, Margarida; Arús, Carles
Other authors:	Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. SOCO - Soft Computing
Abstract:	A Feature Selection (FS) process with a simple Machine Learning method, namely the Single-Layer Perceptron (SLP), is shown to discriminate metastases from glioblastomas with high accuracy using single voxel H-MRS from an international, multi-centre database of brain tumors. The method has low computational cost and its results are intuitively interpretable.
Subject(s):	-Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica -Brain -- Tumors -- Diagnosis -Medical informatics -Cervell -- Tumors -Medicina -- Informàtica
Rights:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Submitted version Conference Object
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