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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.
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.
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