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Breast Mass Segmentation in Mammographic Images by an Effective Region Growing Algorithm

机译:有效区域增长算法在乳腺X线摄影图像中进行乳房质量分割

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Breast cancer is the most common cause of death among women and the most effective method for its diagnosis is mammography. However, this kind of analysis is very difficult to interpret and for this reason radiologists miss 20-30% of tumors. We propose a module for the segmentation of masses that can be implemented in a complete CADx (Computer Aided Diagnosis) system. In particular, we implement a new version of the region growing algorithm specific for this kind of images and for the constraints on computation time of this application.
机译:乳腺癌是女性中最常见的死亡原因,并且最有效的诊断方法是乳房X线照相术。但是,这种分析非常难以解释,因此放射科医生会错过20-30%的肿瘤。我们提出了一种用于质量分割的模块,该模块可以在完整的CADx(计算机辅助诊断)系统中实现。特别是,我们实现了一种新版本的区域增长算法,该算法专用于此类图像以及此应用程序的计算时间限制。

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