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Exploratory characterization of outliers in a multi-centre 1H-MRS brain tumour dataset
dc.contributor.author | Vellido Alcacena, Alfredo |
dc.contributor.author | Julià Sapé, Margarida |
dc.contributor.author | Romero Merino, Enrique |
dc.contributor.author | Arús, Carles |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2011-01-10T17:13:47Z |
dc.date.available | 2011-01-10T17:13:47Z |
dc.date.created | 2008-09 |
dc.date.issued | 2008-09 |
dc.identifier.citation | Vellido, 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.identifier.issn | 0302-9743 |
dc.identifier.uri | http://hdl.handle.net/2117/10944 |
dc.description.abstract | As 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.extent | 8 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica |
dc.subject.lcsh | Brain -- Tumors -- Diagnosis |
dc.subject.lcsh | Medical informatics |
dc.subject.other | Medical decision support systems |
dc.subject.other | Proton magnetic resonance spectroscopy |
dc.subject.other | Brain tumours |
dc.subject.other | Outlier detection |
dc.subject.other | Data exploration |
dc.subject.other | Data visualization |
dc.subject.other | Dimensionality reduction |
dc.title | Exploratory characterization of outliers in a multi-centre 1H-MRS brain tumour dataset |
dc.type | Article |
dc.subject.lemac | Cervell -- Tumors |
dc.subject.lemac | Informàtica mèdica |
dc.subject.lemac | Sistemes d'ajuda a la decisió |
dc.contributor.group | Universitat Politècnica de Catalunya. SOCO - Soft Computing |
dc.identifier.doi | 10.1007/978-3-540-85565-1_24 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 1628430 |
dc.description.version | Postprint (published version) |
local.citation.author | Vellido, A.; Julià, M.; Romero, E.; Arús, C. |
local.citation.publicationName | Lecture notes in computer science |
local.citation.volume | 5178 |
local.citation.startingPage | 189 |
local.citation.endingPage | 196 |
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