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Characterization of benign and malignant solid breast masses using vascular morphology in 3D power Doppler ultrasound images

机译:在3D功率多普勒超声图像中使用血管形态学对良性和恶性实体乳腺肿块进行表征

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Angiogenesis is a popular issue and indicator in the assessment of tumor's growth and metastasis. Three-dimensional (3-D) power Doppler ultrasound images could characterize benign and malignant breast masses. Therefore, this study extracts the features vascularization from 3-D ultrasound images and selects seven morphological features to diagnose benign and malignant breast tumors by using support vector machine (SVM). These features are trained by the Az value under the receiver operating characteristic (ROC) curve to distinguish the more important features from others. The simulations evaluate 30 benign and 30 malignant breast tumor cases by using the morphological features. The classification performance of the proposed method in term of Az value for the ROC curve of the features derived from 3-D power Doppler is 0.8423. The result shows that the vascular morphology in 3-D power Doppler ultrasound images could be used to diagnose benign and malignant breast tumors.
机译:血管生成是评估肿瘤生长和转移的普遍问题和指标。三维(3-D)功率多普勒超声图像可表征乳腺良性和恶性肿块。因此,本研究从3D超声图像中提取血管生成特征,并通过使用支持向量机(SVM)选择7种形态学特征来诊断乳腺良恶性肿瘤。这些功能通过接收机工作特性(ROC)曲线下的Az值进行训练,以将更重要的功能与其他功能区分开。该模拟通过使用形态学特征评估了30例良性和30例恶性乳腺肿瘤病例。从3-D功率多普勒推导得出的特征的ROC曲线,以Az值表示的方法的分类性能为0.8423。结果表明3-D功率多普勒超声图像中的血管形态可用于诊断良性和恶性乳腺肿瘤。

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