Automatic segmentation for breast skin-line

Zhang, Z; Lu, J; Yip, YJ

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.

Citation

Zhang, Z., Lu, J., & Yip, Y. (2010, June). Automatic segmentation for breast skin-line. Presented at 10th IEEE International Conference on Computer and Information Technology, Bradford, UK

• Presentation Conference Type: Other
• Conference Name: 10th IEEE International Conference on Computer and Information Technology
• Conference Location: Bradford, UK
• Start Date: Jun 29, 2010
• End Date: Jul 1, 2010
• Publication Date: Jun 1, 2010
• Deposit Date: Aug 14, 2012
• Publisher URL: http://doi.ieeecomputersociety.org/10.1109/CIT.2010.283
• Additional Information: Additional Information : Paper presented at 10th IEEE International Conference on Computer and Information Technology: International Symposium on Advanced Topics on Information Technologies and Applications (ITA 2010), Bradford, UK, 29th June - 1st July 2010; Event Type : Conference