Melonakos John, Mendonça Paulo, Bhotka Rahul, Sirohey Saad
School of ECE, Georgia Institute of Technology, Atlanta, GA, USA.
Med Image Comput Comput Assist Interv. 2007;10(Pt 2):420-7. doi: 10.1007/978-3-540-75759-7_51.
Among the many features used for classification in computer-aided detection (CAD) systems targeting colonic polyps, those based on differences between the shapes of polyps and folds are most common. We introduce here an explicit parametric model for the haustra or colon wall. The proposed model captures the overall shape of the haustra and we use it to derive the probability distribution of features relevant to polyp detection. The usefulness of the model is demonstrated through its application to a colon CAD algorithm.
在针对结肠息肉的计算机辅助检测（CAD）系统中用于分类的众多特征中，基于息肉和褶皱形状差异的特征最为常见。我们在此引入一种用于结肠袋或结肠壁的显式参数模型。所提出的模型捕捉了结肠袋的整体形状，并且我们使用它来推导与息肉检测相关的特征的概率分布。通过将该模型应用于结肠CAD算法，证明了其有效性。
