NDLI: The algorithm for automatic segmentation of breast and pectoral muscle regions from mammograms

Content Provider	IEEE Xplore Digital Library
Author	Slavkovic-Ilic, M. Gavrovska, A. Milivojevic, M. Reljin, I. Reljin, B.
Copyright Year	2015
Description	Author affiliation: Elektrotehnicki Fakultet u Beogradu, Belgrade, Serbia (Gavrovska, A.; Milivojevic, M.; Reljin, I.; Reljin, B.) \|\| Elektrotehnicki Fakultet u Beogradu i Inovacioni Centar Elektrotehnickog Fak. u Beogradu, Belgrade, Serbia (Slavkovic-Ilic, M.)
Abstract	Proper segmentation of breast and pectoral muscle regions is often the first step in systems for automatic analysis of mammographic images. This paper proposes a method for extraction of the breast region using adaptive gamma correction algorithm for image contrast enhancement and k-means algorithm for thresholding the image in order to extract background and the breast region. To extract the pectoral muscle we find the region of interest, enhance its contrast, and find the region of muscle using k-means algorithm. To estimate the curve representing the edge of the pectoral muscle we use cubic polynomial fitting. The efficiency of the proposed method is tested on mammograms from miniMIAS database.
Starting Page	803
Ending Page	806
File Size	473386
Page Count	4
File Format	PDF
e-ISBN	9781509000555
DOI	10.1109/TELFOR.2015.7377587
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-24
Publisher Place	Serbia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Image analysis Automation Databases Conferences Imaging Algoritam k-srednjih vrednosti Segmentacija dojke Wavelength division multiplexing Izdvajanje grudnog mišica Mamografija AGCWD
Content Type	Text
Resource Type	Article

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