Automatic detection of pectoral muscle with the maximum intensity change algorithm

Zhang, Z; Lu, J; Yip, YJ

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.

Citation

Zhang, Z., Lu, J., & Yip, Y. (2010). Automatic detection of pectoral muscle with the maximum intensity change algorithm. In Research and Development in Intelligent Systems. Springer

• Publication Date: Dec 1, 2010
• Deposit Date: Aug 14, 2012
• Publisher: Springer
• Book Title: Research and Development in Intelligent Systems
• ISBN: 0857291297
• Publisher URL: http://www.bcs-sgai.org/ai2010/?section=home
• Additional Information: Additional Information : Paper presented at AI-2010: Thirtieth SGAI International Conference on Artificial Intelligence, Cambridge, UK, 14th - 16th December 2010