首页> 外文会议>International Workshop on Digital Mammography(IWDM 2006); 20060618-21; Manchester(GB) >Exploitation of Correspondence Between CC and MLO Views in Computer Aided Mass Detection
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Exploitation of Correspondence Between CC and MLO Views in Computer Aided Mass Detection

机译:CC和MLO视图在计算机辅助质量检测中的对应关系的开发

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In this paper we investigate the effect of reclassification of CAD findings using correspondences in MLO and CC views, with the aim of reducing false positives and inconsistencies. We use a method to link regions identified as suspicious in both projections and add a two-view classifier to an existing CAD scheme. The input of this two-view classifier was a feature vector containing the likelihood of malignancy of the region, the likelihood of malignancy of the corresponding region in the other view, and a number of features that describe the resemblance between the both regions. Using FROC analysis we show that detection results improve when using two-view information.
机译:在本文中,我们研究了使用MLO和CC视图中的对应关系对CAD结果进行重新分类的效果,目的是减少误报和不一致之处。我们使用一种方法来链接在两个投影中都被识别为可疑的区域,并在现有的CAD方案中添加两视图分类器。该双视图分类器的输入是一个特征向量,其中包含该区域发生恶性肿瘤的可能性,另一视图中相应区域恶性肿瘤的可能性以及描述两个区域之间相似性的许多特征。使用FROC分析,我们表明使用两视图信息时检测结果会有所改善。

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