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. © 2011 Springer-Verlag London Limited.
Cite
CITATION STYLE
Zhang, Z., Lu, J., & Yip, Y. J. (2011). Automatic detection of pectoral muscle with the maximum intensity change algorithm. In Res. and Dev. in Intelligent Syst. XXVII: Incorporating Applications and Innovations in Intel. Sys. XVIII - AI 2010, 30th SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 489–494). Springer London. https://doi.org/10.1007/978-0-85729-130-1_37
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