Zhang, Z, Lu, J and Yip, YJ 2010, 'Automatic detection of pectoral muscle with the maximum intensity change algorithm ' , in: Research and Development in Intelligent Systems , Springer.

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Abstract

The accurate segmentation of pectoral muscle in mammograms is necessary to detect breast abnormalities in computer-aided diagnosis (CAD) of breast cancer. Based on morphological characteristics of pectoral muscle, a corner detector and the Maximum Intensity Change (MIC) algorithm were proposed in this research to detect the edge of pectoral muscle. The initial result shows that the proposed approach detected pectoral muscle with high quality.

Item Type:	Book Section
Additional Information:	Paper presented at AI-2010: Thirtieth SGAI International Conference on Artificial Intelligence, Cambridge, UK, 14th - 16th December 2010
Themes:	Media, Digital Technology and the Creative Economy
Schools:	Colleges and Schools > College of Science & Technology Strategic Leadership Team
Publisher:	Springer
Refereed:	Yes
ISBN:	0857291297
Depositing User:	Users 29196 not found.
Date Deposited:	14 Aug 2012 14:07
Last Modified:	17 Aug 2012 13:42
URI:	http://usir.salford.ac.uk/id/eprint/23104

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