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《Journal of University of Science and Technology Liaoning》 2009-03
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Classification of cervical cancer cell based on support vector machine and its application

GAO Chuang1,WANG Li-dong1,ZHOU Shi-yu2(1.School of Electronic and Information Engineering,University of Science and Technology Liaoning,Anshan 114051,China;2.AnGang Group New Hot-Rolled Co Ltd Hot-Rolled Strip Plaint,Anshan 114051,China)  
By taking the classification of cervical cancer cells as background,in view of the problems of high false-negative rates of Papanicolauo smear test whose results are not very accurate,the fourier-transform infra-red(FTIR) data were classified by adopting support vector machines(SVM) in order to improve the accuracy of the standard Pap test.53 patients are undertaken both Pap smear test and colposcopy examination whose results are taken as accurate samples. Soft-margin classifier and Gaussian Radial Basis Function(RBF) Kernel are used for the simulation,then leaving one out cross-validation is applied to verify the algorithm accuracy,and the classification results of support vector machine are compared with the results of Pap smear test.The results show the classification accuracy rate of SVM can reach 72%.
【CateGory Index】: R737.33
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