肿瘤超声图像灰度和纹理特征提取方法研究

Extraction of Gray and Texture Features based on Ultrasonic Image of Breast Cancer

乳腺癌的发病率在女性癌症中占据首位,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。

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.