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Characterization and discrimination of basal cell carcinoma and normal human skin tissues using resonance Raman spectroscopy

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Abstract

Resonance Raman spectroscopy is used for rapid detection of skin BCC cancer. The cross-validated classification accuracy is achieved to be as high as 98% using nonnegative matrix factorization along with support vector machine statistical method.

© 2017 Optical Society of America

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