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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2013 Vol.3(2): 125-127 ISSN: 2010-3697
DOI: 10.7763/IJMO.2013.V3.250

A New Technique for Pectoral Muscle Detection

Farag H. Alhsnony
Abstract—Previous works on breast tissue identification and abnormalities detection notice that the feature extractionprocess is affected if the region processed is not well defined. Thereby, it is important to split the mammogram into regions to achieve optimal breast parenchyma measurements, breast registration or to put into focus a technique when searching for abnormalities. Detection and suppression of pectoral muscle can also help in image registration for further analysis of breast abnormalities In this paper a proposed new automated technique for segmenting a digital mammogram into breast region with pectoral muscle suppression. This technique uses bit depth and edge processes for pectoral muscle detection and suppression.

Index Terms—Digital mammography, pectoral muscle detection.

Farag H. Alhsnony is with the Alexandria University, Alexandria, Egypt (e-mail: Alhsnony@yahoo.com).

[PDF]

Cite:Farag H. Alhsnony, "A New Technique for Pectoral Muscle Detection," International Journal of Modeling and Optimization vol. 3, no. 2, pp. 125-127, 2013.

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