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Multispectral Analysis Of Magnetic Resonance Images: A Comparison Between Supervised And Unsupervised Classification Techniques

A. Alaux, P. Rinck
Published 1990 · Computer Science

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With six or more tissue parameters MR imaging has substantial theoretical potential for tissue discrimination in different organs. Accurate tissue discrimination may require dependence on computer-based image analysis techniques to extract tissue-specific information. Our approach to these problems has been through pattern classification techniques (Alaux 1988, 1989). Our routine analysis has included: principal components analysis, supervised Bayesian classification, and clustering techniques (minimum distance and dynamic clustering).

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