Title :
Automatic Segmentation for Breast Skin-line
Author :
Zhang, Zhiyong ; Lu, Joan ; Yip, Yau Jim
Author_Institution :
Fac. of Comput. & Eng., Univ. of Huddersfield, Huddersfield, UK
fDate :
June 29 2010-July 1 2010
Abstract :
The accurate segmentation of breast in mammograms is critical for computer-aided diagnosis (CAD) of breast cancer. The challenges of breast segmentation come from tissue superimposition, low contrast and low visible breast boundary, noise areas and artifacts. In this research, a novel Automatic Breast Segmentation (ABS) approach was proposed. The experiment results showed that the proposed ABS approach can segment breast boundary reliably and accurately.
Keywords :
cancer; image segmentation; mammography; medical computing; automatic breast segmentation approach; breast skin line; computer aided diagnosis; mammogram; tissue superimposition; Breast cancer; Computers; Filtering; Image segmentation; Noise; Variable speed drives; breast cancer; mammograms; segmentation;
Conference_Titel :
Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
Conference_Location :
Bradford
Print_ISBN :
978-1-4244-7547-6
DOI :
10.1109/CIT.2010.283
