Finette S, Bleier A, Swindell W
Ultrason Imaging. 1983 Jan;5(1):55-70. doi: 10.1177/016173468300500106.
This paper discusses the application of statistical pattern recognition techniques to problems in diagnostic ultrasound. Using our own system as an example, we describe the concepts and specific methods that we have applied to a problem involving the computer-aided classification of breast tissue in vivo. Topics include feature generation, feature selection and classification, as well as a method which estimates the probability of error on classifying future data. An accompanying paper applies these methods to the classification of backscattered RF signals from normal and diseased breast tissue.
本文讨论了统计模式识别技术在诊断超声问题中的应用。以我们自己的系统为例，我们描述了我们应用于涉及体内乳腺组织计算机辅助分类问题的概念和具体方法。主题包括特征生成、特征选择与分类，以及一种估计对未来数据进行分类时错误概率的方法。一篇配套论文将这些方法应用于正常和患病乳腺组织的反向散射射频信号的分类。
