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
[1] [1] Parkin D M, Whelan S L, Ferlay J, et al. IARC Scientific Publication, France Lyons. 2003, 155, Lyon.
[2] [2] Puppels G J, de Mul F F M, Otto C, et al. Nature, 1990, 347(6290): 301.
[3] [3] Feng S, Chen R, Lin J, et al. Biosens Bioelectron, 2010, 25(11): 2414.
[4] [4] Feng S, Chen R, Lin J, et al. Biosens Bioelectron, 2011, 26(7): 3167.
[5] [5] Schmid U, Roesch P, Krause M, et al. Chemometr Intell. Lab., 2009, 96(2): 159.
[6] [6] Bensalah K, Fleureau J, Rolland D, et al. Eur. Urol., 2010, 58(4): 602.
[9] [9] Vapnik V N. The Nature of Statistical Learning Theory. 1st ed. New York: Springer-Verlag, 1995.
[10] [10] Zhao J, Lui H, Mclean D I, et al. Appl. Spectrosc., 2007, 61(11): 1225.
[11] [11] Chang C, Lin C. ACM Transaction on Intelligent Systems and Technology, 2011, 2(27): 1.
[12] [12] Wang H, Huang Y, Ding H. Proc. SPIE, 2010, 7820: 78201O.
[13] [13] Balabin R M, Safieva R Z, Lomakina E I. Anal. Chim. Acta, 2010, 671(1/2): 27.
Get Citation
Copy Citation Text
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)