Title :
A Model-based Algorithm for Mass Segmentation in Mammograms
Author :
Xu, Weidong ; Xia, Shunren ; Xiao, Min ; Duan, Huilong
Author_Institution :
Key Lab. of Biomed. Eng. of Minist. of Educ., Zhejiang Univ., Hangzhou
Abstract :
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
Keywords :
discrete wavelet transforms; edge detection; image segmentation; iterative methods; mammography; medical image processing; Canny edge detection; DWT-based approach; active contour model; iterative thresholding; mammograms; mass segmentation; model-based algorithm; rough mass region extraction; Active contours; Biomedical engineering; Breast; Computer aided diagnosis; Discrete wavelet transforms; Image edge detection; Iterative algorithms; Iterative methods; Laboratories; Solids;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616987
