22 April 2005 Classification of dental lesions fluorescence spectra using support vector machine method
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Proceedings Volume 5830, 13th International School on Quantum Electronics: Laser Physics and Applications; (2005) https://doi.org/10.1117/12.618812
Event: 13th International School on Quantum Electronics: Laser Physics and Applications, 2004, Bourgas, Bulgaria
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
I. S. Atanasov, I. S. Atanasov, Ekaterina G. Borisova, Ekaterina G. Borisova, O. I. Yordanov, O. I. Yordanov, Tzonko T. Uzunov, Tzonko T. Uzunov, Lachezar A. Avramov, Lachezar A. Avramov, } "Classification of dental lesions fluorescence spectra using support vector machine method", Proc. SPIE 5830, 13th International School on Quantum Electronics: Laser Physics and Applications, (22 April 2005); doi: 10.1117/12.618812; https://doi.org/10.1117/12.618812
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