Quantification and classification of magnetic resonance spectroscopic data for brain tumor diagnosis (2008)
Abstract / truncated to 115 words
Magnetic Resonance Spectroscopy has been successfully used in brain tumor diagnosis and represents a complementary aid to the well-known technique, Magnetic Resonance Imaging, by providing metabolic information that is not available with the latter. Both Imaging and Spectroscopy can be used for the grading and typing of brain tumors. Classifying brain tumors from spectroscopic data is not trivial and requires several steps. The common main steps are preprocessing, feature extraction and, finally, classification of the data. The preprocessing step aims to clean up the data and to normalize them in order to facilitate the extraction of the relevant features. These features, once selected and extracted, are used in a classifier, whose output is a brain ...
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Information
- Author
- Poullet, Jean-Baptiste
- Institution
- Katholieke Universiteit Leuven
- Supervisor
- Publication Year
- 2008
- Upload Date
- Dec. 10, 2008
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