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http://dx.doi.org/10.5573/ieek.2013.50.8.196

A Diagnosis Method of Basal Cell Carcinoma by Raman Spectra of Skin Tissue using NMF Algorithm  

Park, Aaron (Chonnam National University)
Baek, Sung-June (Chonnam National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.8, 2013 , pp. 196-202 More about this Journal
Abstract
Basal cell carcinoma (BCC) is the most common skin cancer and its incidence is increasing rapidly. In this paper, we propose a diagnosis method of basal cell carcinoma by Raman spectra of skin tissue using the NMF(non-negative matrix factorization) algorithm. After preprocessing steps, measured Raman spectra is used classification experiments. The weight and the basis can be obtained in a simple matrix operation and a column vector of the matrix decompsed by the NMF. Linear combination of bases and weights, it is possible to approximate the average of Raman spectra. The classification method is to select the class which to minimize the root mean square of the difference of the linear combination and the objective spectrum. According to the experimental results, the proposed method shows the promising results to diagnosis BCC. In addition, it confirmed that the proposed method compared with the previous research result could be effectively applied in the analysis of the Raman spectra.
Keywords
non-negative matrix factorization; Raman spectroscopy; basal cell carcinoma; skin cancer; pattern recognition;
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Times Cited By KSCI : 2  (Citation Analysis)
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