| 基于支持矢量机的宫颈细胞分类 |
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| 引用本文： | 高闯,王立东,周世宇.基于支持矢量机的宫颈细胞分类[J].鞍山科技大学学报,2009(3):268-271. |
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| 作者姓名： | 高闯 王立东 周世宇 |
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| 作者单位： | 辽宁科技大学电子与信息工程学院;鞍山股份有限公司热轧带钢厂; |
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| 摘 要： | 以宫颈癌细胞的分类检测为背景,针对帕普涂片检测有很高的假阴性率和检测结果不精确问题,采用支持矢量机对红外线光谱(FTIR)数据进行分类,以提高帕普涂片检测的精确度。以53个病例的帕普涂片检测和阴道镜活检结果做为原始数据,以阴道镜活检的结果作为正确样本,选择软间隔分类器和高斯核函数进行模型仿真,然后,使用留一法交叉验证来测试算法准确性,将支持矢量机的分类结果和帕普涂片检测的结果与正确样本进行比对。结果表明,使用支持矢量机的分类正确度达到72%。
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| 关 键 词： | 宫颈细胞 分类算法 红外线光谱 支持矢量机 |
Classification of cervical cancer cell based on support vector machine and its application |
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| GAO Chuang,WANG Li-dong,ZHOU Shi-yu.Classification of cervical cancer cell based on support vector machine and its application[J].Journal of Anshan University of Science and Technology,2009(3):268-271. |
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| Authors: | GAO Chuang WANG Li-dong ZHOU Shi-yu |
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| Institution: | 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;China |
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| Abstract: | 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 Fu... |
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| Keywords: | cervical cancer cell classification algorithm fourier-transform infra-red spectra support vector machine |
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