【摘 要】
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Introduction Segmentation of masses plays a very important role in mammogram computer-aided diagnosis (CAD) system.Most of the traditional mass segmentation methods focused on the establishment of app
【机 构】
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Key Laboratory of Biomedical Engineering of Ministry of Education,Zhejiang University,Hangzhou 31002
【出 处】
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长江2011国际医学影像物理和工程应用大会暨第六届中国医学影像物理学术年会
论文部分内容阅读
Introduction Segmentation of masses plays a very important role in mammogram computer-aided diagnosis (CAD) system.Most of the traditional mass segmentation methods focused on the establishment of appropriate object models and developing algorithms to find the parameters for these models.It may not work very well due to the complex situations of masses,such as various scales,complex shapes,ambiguous margins as well as the surrounding tissues.In this study,a robust method by using random walks for automatic segmentation of masses is proposed.
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