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Exploratory characterization of outliers in a multi-centre 1H-MRS brain tumour dataset
Vellido Alcacena, Alfredo; Julià Sapé, Margarida; Romero Merino, Enrique; Arús, Carles
Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. SOCO - Soft Computing
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.
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
Brain -- Tumors -- Diagnosis
Medical informatics
Medical decision support systems
Proton magnetic resonance spectroscopy
Brain tumours
Outlier detection
Data exploration
Data visualization
Dimensionality reduction
Cervell -- Tumors
Informàtica mèdica
Sistemes d'ajuda a la decisió
info:eu-repo/semantics/publishedVersion
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