Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound
Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound
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DOI：
10.1002/uog.5205
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发表时间：
2008-09-01
影响因子：
7.1
通讯作者：
Moon, W. K.
中科院分区：
文献类型：
--
作者：
Huang, Y. -L;Chen, D. R.;Moon, W. K.
目的 开发和评估具有自动轮廓和形态分析功能的计算机辅助诊断 (CAD) 系统，以帮助使用超声对乳腺肿瘤进行分类。 方法 我们评估了 118 个乳腺病变（34 个恶性肿瘤和 84 个良性肿瘤）。每个肿瘤轮廓都是从数字化超声图像中自动提取的。计算提取轮廓中的 19 个实用形态特征，并应用主成分分析 (PCA) 来查找独立特征。支持向量机 (SVM) 分类器利用选定的主向量来识别乳腺肿瘤是良性还是恶性。在本研究中，所有案例均采用 k 倍交叉验证 (k = 10) 进行采样，通过接受者操作特征 (ROC) 曲线分析来评估性能。 结果 使用所有形态特征和低维主向量的所提出的 CAD 系统的 ROC 曲线下面积分别为 0.91 和 0.90。利用形态学信息对乳腺肿瘤进行分类的能力良好。结论该系统可以很好地区分良性和恶性乳腺肿瘤，因此提供了临床上有用的第二意见。此外，形态特征几乎与设置无关，因此可用于各种超声机器。版权所有 (C) 2008 ISUOG。由约翰·威利父子有限公司出版
Objectives To develop and evaluate a computer-aided diagnosis (CAD) system with automatic contouring and morphological analysis to aid in the classification of breast tumors using ultrasound.Methods We evaluated 118 breast lesions (34 malignant and 84 benign tumors). Each tumor contour was automatically extracted from the digitized ultrasound image. Nineteen practical morphological features from the extracted contour were calculated and principal component analysis (PCA) was applied to find independent features. A support vector machine (SVM) classifier utilized the selected principal vectors to identify the breast tumor as benign or malignant. In this study, all the cases were sampled with k-fold cross-validation (k = 10) to evaluate the performance by receiver-operating characteristics (ROC) curve analysis.Results The areas under the ROC curves for the proposed CAD systems using all morphological features and the lower-dimensional principal vector were 0.91 and 0.90, respectively. The classification ability for breast tumors using morphological information was good.Conclusions This system differentiates benign from malignant breast tumors well and therefore provides a clinically useful second opinion. Moreover, the morphological features are nearly setting-independent and thus available to various ultrasound machines. Copyright (C) 2008 ISUOG. Published by John Wiley & Sons, Ltd.