A region growing-based method for pectoral muscle segmentation in digital mammograms

Authors:
Constanza Lampasona;Dieter Roller
Affiliations:
Universität Stuttgart, Germany;Universität Stuttgart, Germany
Venue:
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Year:
2008

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Abstract

Previous works on the automatic detection of abnormalities in breast tissue from mammograms show that the feature extraction process may be affected by the presence of the pectoral muscle. It is therefore important to segment the mammogram into interesting regions. In this contribution a fully automatic method for pectoral muscle segmentation is presented, which profits of the special characteristics of full-field digital mammograms.