Breast segmentation with pectoral muscle suppression on digital mammograms

Authors:
David Raba;Arnau Oliver;Joan Martí;Marta Peracaula;Joan Espunya
Affiliations:
Robotics and Computer Vision Group, University of Girona, Girona, Spain;Robotics and Computer Vision Group, University of Girona, Girona, Spain;Robotics and Computer Vision Group, University of Girona, Girona, Spain;Robotics and Computer Vision Group, University of Girona, Girona, Spain;Robotics and Computer Vision Group, University of Girona, Girona, Spain
Venue:
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

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Abstract

Previous works on breast tissue identification and abnormalities detection notice that the feature extraction process is affected if the region processed is not well focused. Thereby, it is important to split the mammogram into interesting regions to achieve optimal breast parenchyma measurements, breast registration or to put into focus a technique when we search for abnormalities. In this paper, we review most of the relevant work that has been presented from 80's to nowadays. Secondly, an automated technique for segmenting a digital mammogram into breast region and background, with pectoral muscle suppression is presented.