| 肿瘤超声图像灰度和纹理特征提取方法研究 |
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| 引用本文： | 尹剑仑,卫武迪,梁永贵. 肿瘤超声图像灰度和纹理特征提取方法研究[J]. 通信技术, 2009, 42(9): 168-170 |
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| 作者姓名： | 尹剑仑 卫武迪 梁永贵 |
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| 作者单位： | 1. 四川大学,电气信息学院通信工程系,四川,成都,610064
2. 四川大学,材料学院生物医学工程系,四川,成都,610064 |
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| 摘 要： | 乳腺癌的发病率在如性癌症中占据首位，开展乳腺癌的诊断和防治研究具有重要的科学意义和临床实用价值。文中主要研究的是对超声图像进行分析，对其灰度和纹理特征提取进行研究，并在特征选择阶段使用类间距对单个特征的分类能力进行评价，为后续研究计算机辅助诊断系统奠定一个初步基础。
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| 关 键 词： | 乳腺癌 超声图像 灰度特征 纹理特征 |
Extraction of Gray and Texture Features based on Ultrasonic Image of Breast Cancer |
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| YIN Jian-lun,WEI Wu-di,LIANG Yong-gui. Extraction of Gray and Texture Features based on Ultrasonic Image of Breast Cancer[J]. Communications Technology, 2009, 42(9): 168-170 |
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| Authors: | YIN Jian-lun WEI Wu-di LIANG Yong-gui |
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| Affiliation: | YIN Jian-lun, WEI Wu-di, LIANG Yong-gui (a. Communication Department of Electric College; b. Biomedical Department of Materials College Sichuan Uni. Chengdu Sichuan 610064, China) |
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| Abstract: | Breast cancer is the most prevalent cancer among women. It is valuable and meaningful to study the diagnosis of breast cancer. In this study, the gray level and texture features are first extracted from the regions of the ultrasonic images; then, the classification ability of every feature is evaluated with classification distance in feature select stage. This study would lay a solid foundation for the computer-aided diagnosis system. |
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| Keywords: | breast cancer ultrasound B-scan image gray feature texture feature |
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