| 利用支持向量机对癌细胞的识别 |
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| 引用本文： | 唐思源,柳原,崔媛.利用支持向量机对癌细胞的识别[J].软件,2014(3):170-171. |
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| 作者姓名： | 唐思源 柳原 崔媛 |
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| 作者单位： | 包头医学院计算机科学与技术系,内蒙古包头014040 |
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| 基金项目： | 包头医学院秦文斌科技教育基金科研项目，项目编号201312 |
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| 摘 要： | 癌细胞识别是数字图像处理和模式识别领域的一个研究热点，在临床上也是一个比较有意义的研究课题，本文利用支持向量机的方法，通过提取细胞的特征来分类和识别癌细胞。首先收集彩色图像，对图像进行预处理，之后是进行分割及对单细胞和多细胞的特征提取，最后实现对癌变细胞的识别和分类。
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| 关 键 词： | 数字图像处理 模式识别 支持向量机 特征提取 |
SVM Identiifcation of Cancer |
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| TANG Si-yuan,LIU Yuan,CUI Yuan.SVM Identiifcation of Cancer[J].Software,2014(3):170-171. |
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| Authors: | TANG Si-yuan LIU Yuan CUI Yuan |
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| Affiliation: | (Department of Computer Science and Technology, Baotou, lnner Mongolia Medical College, Baotou O14040,China) |
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| Abstract: | Identification of cancer cells is a digital image processing and pattern recognition research focus areas, but also in a more clinically meaningful research, we use SVM method, feature extraction and classification of cells to identify cancer cells. First collect color images, image preprocessing, segmentation, and after a single-cell and multi-cell feature extraction, and finally achieve the identification and classification of cancerous cells. |
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| Keywords: | digital image processing pattern recognition support vector machine Feature Extraction |
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