A model-based algorithm for mass segmentation in mammograms

被引：0
|
作者：
Xu, Weidong [1 ]
Xia, Shunren [1 ]
Xiao, Min [1 ]
Duan, Huilong [1 ]
机构：
[1] Zhejiang Univ, Minist Educ, Key Lab Biomed Engn, Hangzhou 310027, Peoples R China
来源：
2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2005年
关键词：
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
A novel mass segmentation algorithm is proposed in this paper. It establishes two mass models to represent the various masses, uses iterative thresholding to extract the suspicious area, and applies a DWT-based approach to locate the masses. And then, a region growing process restricted by Canny edge detection is carried out to extract the rough mass regions, and finally active contour model is used to segment the masses accurately. The clinical experiment has demonstrated that our algorithm has higher performance than conventional methods.
引用
收藏
页码：2543 / 2546
页数：4
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