Breast Region Segmentation and Pectoral Muscle Removal in Mammograms

The first step in most computer aided diagnosis systems is an accurate segmentation of breast region, which affects not only the accuracy but also the speed of the analysis because it significantly reduces the area of the image to be examined. The second step usually includes removal of pectoral mus...

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Main Authors: M. Slavković-Ilić, .A. Gavrovska, M. Milivojević, I. Reljin, B. Reljin
Format: Article
Language:English
Published: Telecommunications Society, Academic Mind 2016-06-01
Series:Telfor Journal
Subjects:
Online Access: http://journal.telfor.rs/Published/Vol8No1/Vol8No1_A9.pdf
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author M. Slavković-Ilić
.A. Gavrovska
M. Milivojević
I. Reljin
B. Reljin
author_facet M. Slavković-Ilić
.A. Gavrovska
M. Milivojević
I. Reljin
B. Reljin
author_sort M. Slavković-Ilić
collection DOAJ
description The first step in most computer aided diagnosis systems is an accurate segmentation of breast region, which affects not only the accuracy but also the speed of the analysis because it significantly reduces the area of the image to be examined. The second step usually includes removal of pectoral muscle region, which is seen in mediolateral oblique view mammograms. This is primarily done to reduce the number of false positive breast cancer detections. In this paper, a method for the segmentation of breast region based on contrast enhancement and k-means algorithm is proposed. To extract pectoral muscle, a region of interest is found, its contrast is enhanced and the pectoral muscle is identified using k-means algorithm. Cubic polynomial fitting is used for the estimation of muscle's boundary. The method is validated with mammograms from miniMIAS database.
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spelling doaj.art-5f10bf7dd6554092bdb69238a3e6371e2022-12-22T01:10:57ZengTelecommunications Society, Academic MindTelfor Journal1821-32512016-06-0181505510.5937/telfor1601050SBreast Region Segmentation and Pectoral Muscle Removal in MammogramsM. Slavković-Ilić.A. GavrovskaM. MilivojevićI. ReljinB. ReljinThe first step in most computer aided diagnosis systems is an accurate segmentation of breast region, which affects not only the accuracy but also the speed of the analysis because it significantly reduces the area of the image to be examined. The second step usually includes removal of pectoral muscle region, which is seen in mediolateral oblique view mammograms. This is primarily done to reduce the number of false positive breast cancer detections. In this paper, a method for the segmentation of breast region based on contrast enhancement and k-means algorithm is proposed. To extract pectoral muscle, a region of interest is found, its contrast is enhanced and the pectoral muscle is identified using k-means algorithm. Cubic polynomial fitting is used for the estimation of muscle's boundary. The method is validated with mammograms from miniMIAS database. http://journal.telfor.rs/Published/Vol8No1/Vol8No1_A9.pdf Breast segmentationcomputer aided detectionMIAS databasepectoral muscle
spellingShingle M. Slavković-Ilić
.A. Gavrovska
M. Milivojević
I. Reljin
B. Reljin
Breast Region Segmentation and Pectoral Muscle Removal in Mammograms
Telfor Journal
Breast segmentation
computer aided detection
MIAS database
pectoral muscle
title Breast Region Segmentation and Pectoral Muscle Removal in Mammograms
title_full Breast Region Segmentation and Pectoral Muscle Removal in Mammograms
title_fullStr Breast Region Segmentation and Pectoral Muscle Removal in Mammograms
title_full_unstemmed Breast Region Segmentation and Pectoral Muscle Removal in Mammograms
title_short Breast Region Segmentation and Pectoral Muscle Removal in Mammograms
title_sort breast region segmentation and pectoral muscle removal in mammograms
topic Breast segmentation
computer aided detection
MIAS database
pectoral muscle
url http://journal.telfor.rs/Published/Vol8No1/Vol8No1_A9.pdf
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AT agavrovska breastregionsegmentationandpectoralmuscleremovalinmammograms
AT mmilivojevic breastregionsegmentationandpectoralmuscleremovalinmammograms
AT ireljin breastregionsegmentationandpectoralmuscleremovalinmammograms
AT breljin breastregionsegmentationandpectoralmuscleremovalinmammograms