Metrological Characterization of a CADx System for the Classification of Breast Masses in Mammograms
Metrological Characterization of a CADx System for the Classification of Breast Masses in Mammograms
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用于乳房 X 光检查中乳腺肿块分类的 CADx 系统的计量表征
DOI：
10.1109/tim.2010.2060751
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发表时间：
2010
影响因子：
5.6
通讯作者：
S. Salicone
中科院分区：
文献类型：
--
作者：
A. Mencattini;M. Salmeri;G. Rabottino;S. Salicone
在本文中，我们进行评估的CAD乳腺X线照片中的肿瘤肿块分类的不确定性传播通过系统。在对所开发的CAD系统进行特征描述的基础上，对本文中的特征提取、特征选择和分类步骤进行了验证。特别地，广泛使用诸如接收操作曲线（ROC）和ROC下面积（AUC）的合适度量，以便提供性能的定量评估。最后，我们实现了蒙特卡洛模拟，以提供所有相关参数的一些覆盖概率的置信区间。该程序进行了测试的乳房X线摄影图像包含恶性和良性乳腺肿块。
In this paper, we perform the assessment of a CAD for the tumoral masses classification in mammograms by the uncertainty propagation through the system. Carrying on the work of the authors concerning the metrological characterization of the developed CAD, we validate the features extraction, features selection, and classification steps in this paper. In particular, suitable metrics such as the Receiving Operating Curve (ROC) and the Area Under ROC (AUC) are widely used in order to provide a quantitative evaluation of the performance. Finally, we implement a Monte Carlo simulation in order to provide the confidence interval for some coverage probabilities for all involved parameters. The procedure is tested on mammographic images containing both malignant and benign breast masses.