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Automatic Detection of Pectoral Muscle with the Maximum Intensity Change Algorithm

  • Zhiyong Zhang
  • Joan Lu
  • Yau Jim Yip
Conference paper

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.

Keywords

Pectoral Muscle Candidate Point Corner Detector Breast Area Wavelet Filter Bank 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.University of HuddersfieldHuddersfieldUK

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