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Mitral regurgitation assessment by automated analysis of intracavitary contrast 2-D echocardiograms

机译:通过腔内造影二维超声心动图的自动分析评估二尖瓣关闭不全

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An automated system based on a PC/AT-286 clone with image acquisition and processing boards is proposed for evaluating mitral regurgitation (MR) through a series of analysis of the intracavitary contrast two-dimensional echocardiograms. Four MR classes, classified according to the regurgitation severity degree, have been studied. Features from these four classes have been extracted in a training set of 79 randomly selected samples. Potentially significant features were selected for a hierarchical linear classifier. A total rate of 75% correct classification was obtained which illustrates the efficiency of the approach and its potential in clinical practice.
机译:提出了一种基于PC / AT-286克隆并带有图像采集和处理板的自动化系统,用于通过对腔内对比二维超声心动图进行一系列分析来评估二尖瓣关闭不全(MR)。已经研究了根据反流严重程度分类的四个MR类。这四个类别的特征已从79个随机选择的样本的训练集中提取出来。为分层线性分类器选择了潜在的重要特征。获得正确分类的总比率为75%,这说明了该方法的效率及其在临床实践中的潜力。

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