Automatic segmentation for breast skin-line

Zhang, Z, Lu, J and Yip, YJ 2010, Automatic segmentation for breast skin-line , in: 10th IEEE International Conference on Computer and Information Technology, 29th June - 1st July 2010, Bradford, UK.

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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.

Item Type:	Conference or Workshop Item (Paper)
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
Themes:	Media, Digital Technology and the Creative Economy
Schools:	Schools > No Research Centre
Publisher:	IEEE
Refereed:	No
Depositing User:	Users 29196 not found.
Date Deposited:	14 Aug 2012 13:07
Last Modified:	27 Aug 2021 22:58
URI:	https://usir.salford.ac.uk/id/eprint/23105

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