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Proceedings Paper

Classification of dental lesions fluorescence spectra using support vector machine method
Author(s): I. S. Atanasov; Ekaterina G. Borisova; O. I. Yordanov; Tzonko T. Uzunov; Lachezar A. Avramov
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Paper Abstract

We use the Support Vector Machine method to distinguish fluorescence spectra obtained from demineralized teeth from those obtained from healthy teeth. We find intervals of values for the various parameters of the algorithm, such as dimension, degree of smoothness, etc, as to achieve at least 90% diagnostic accuracy. We argue that the success of the methodology is determined by its multidimensional nature.

Paper Details

Date Published: 22 April 2005
PDF: 5 pages
Proc. SPIE 5830, 13th International School on Quantum Electronics: Laser Physics and Applications, (22 April 2005); doi: 10.1117/12.618812
Show Author Affiliations
I. S. Atanasov, Institute of Electronics (Bulgaria)
Ekaterina G. Borisova, Institute of Electronics (Bulgaria)
O. I. Yordanov, Institute of Electronics (Bulgaria)
Tzonko T. Uzunov, Medical Univ. Sofia (Bulgaria)
Lachezar A. Avramov, Institute of Electronics (Bulgaria)

Published in SPIE Proceedings Vol. 5830:
13th International School on Quantum Electronics: Laser Physics and Applications
Peter A. Atanasov; Sanka V. Gateva; Lachezar A. Avramov; Alexander A. Serafetinides, Editor(s)

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