首页|Exploratory Characterization of Outliers in a Multi-centre 1~H-MRS Brain Tumour Dataset

Exploratory Characterization of Outliers in a Multi-centre 1~H-MRS Brain Tumour Dataset

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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。

proton magnetic resonance spectroscopybrain tumoursoutlier detectiondata explorationdata visualizationdimensionality reductionmedical decision support systems

Alfredo Vellido、Margarida Julia-Sape、Enrique Romero、Carles Arus

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International Conference on Knowledge-Based Intelligent Information and Engineering Systems;KES 2008

Zagreb(HR);Zagreb(HR)

Knowledge-Based Intelligent Information and Engineering Systems pt.2

P.189-196

2008