Spectroscopy and Spectral Analysis, Volume. 33, Issue 6, 1566(2013)
Raman Spectral Analysis of Nasopharyngeal Carcinoma and Nasopharyngeal Normal Cell Lines Based on Support Vector Machines
In the present work, two algorithms of support vector classification (SVC) were utilized to analyze and classify Raman spectra of nasopharyngeal cell lines C666-1, CNE2 and nasopharyngeal normal cell line NP69, and achieved great sensitivity and specificity which are all up to 90%. This is coincident with our previous LDA classification model. The final results show that both of these two SVC algorithms can well classify the cell lines, and meanwhile may be helpful to the realization of Raman spectroscopy to be one of diagnostic techniques of nasopharyngeal carcinoma.
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SUN Lei, CHEN Yang, HUANG Yang-wen, OU Lin, SU Ying, FENG Shang-yuan, LEI Jin-ping. Raman Spectral Analysis of Nasopharyngeal Carcinoma and Nasopharyngeal Normal Cell Lines Based on Support Vector Machines[J]. Spectroscopy and Spectral Analysis, 2013, 33(6): 1566
Received: Nov. 9, 2012
Accepted: --
Published Online: Jun. 7, 2013
The Author Email: Lei SUN (fannysun@163.com)