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dc.contributor.authorVellido Alcacena, Alfredo
dc.contributor.authorJulià Sapé, Margarida
dc.contributor.authorRomero Merino, Enrique
dc.contributor.authorArús, Carles
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.identifier.citationVellido, A. [et al.]. Exploratory characterization of outliers in a multi-centre 1H-MRS brain tumour dataset. "Lecture notes in computer science", Setembre 2008, vol. 5178, p. 189-196.
dc.description.abstractAs part of the AIDTumour research project, the analysis of MRS data corresponding to various tumour pathologies is used to assist expert diagnosis. The high dimensionality of the MR spectra might obscure atypical aspects of the data that would jeopardize their automated classification and, as a result, the process of computer-based diagnostic assistance. In this paper, we put forward a method to overcome this potential problem that combines automatic outlier detection, visualization through dimensionality reduction, and expert opinion.
dc.format.extent8 p.
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject.lcshBrain -- Tumors -- Diagnosis
dc.subject.lcshMedical informatics
dc.subject.otherMedical decision support systems
dc.subject.otherProton magnetic resonance spectroscopy
dc.subject.otherBrain tumours
dc.subject.otherOutlier detection
dc.subject.otherData exploration
dc.subject.otherData visualization
dc.subject.otherDimensionality reduction
dc.titleExploratory characterization of outliers in a multi-centre 1H-MRS brain tumour dataset
dc.subject.lemacCervell -- Tumors
dc.subject.lemacInformàtica mèdica
dc.subject.lemacSistemes d'ajuda a la decisió
dc.contributor.groupUniversitat Politècnica de Catalunya. SOCO - Soft Computing
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
local.citation.authorVellido, A.; Julià, M.; Romero, E.; Arús, C.
local.citation.publicationNameLecture notes in computer science

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