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Automatic Segmentation for Breast Skin-line

Zhang, Zhiyong, Lu, Joan and Yip, Yau Jim (2010) Automatic Segmentation for Breast Skin-line. In: Proceedings of the 2010 10th IEEE International Conference on Computer and Information Technology. IEEE, pp. 1599-1604. ISBN 9780769541082

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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: Book Chapter
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
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Schools: School of Computing and Engineering
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > Informatics Research Group
School of Computing and Engineering > Informatics Research Group > Software Engineering Research Group
School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
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Depositing User: Cherry Edmunds
Date Deposited: 30 Sep 2010 14:58
Last Modified: 09 Dec 2010 12:31
URI: http://eprints.hud.ac.uk/id/eprint/8717

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