Segmentation of the Breast Region in Digital Mammograms and Detection of Masses
H. Armen Sahakyan. International Journal of Advanced Computer Science and Applications(IJACSA), (2012)
Zusammenfassung
The mammography is the most effective procedure for an early diagnosis of the breast cancer. Finding an accurate and efficient breast region segmentation technique still remains a challenging problem in digital mammography. In this paper we explore an automated technique for mammogram segmentation. The proposed algorithm uses morphological preprocessing algorithm in order to: remove digitization noises and separate background region from the breast profile region for further edge detection and regions segmentation.
%0 Journal Article
%1 IJACSA.2012.030218
%A Armen Sahakyan, Hakop Sarukhanyan
%D 2012
%J International Journal of Advanced Computer Science and Applications(IJACSA)
%K ROI; breast detection; image mammography; masses region segmentation;
%N 2
%T Segmentation of the Breast Region in Digital Mammograms and Detection of Masses
%U http://ijacsa.thesai.org/
%V 3
%X The mammography is the most effective procedure for an early diagnosis of the breast cancer. Finding an accurate and efficient breast region segmentation technique still remains a challenging problem in digital mammography. In this paper we explore an automated technique for mammogram segmentation. The proposed algorithm uses morphological preprocessing algorithm in order to: remove digitization noises and separate background region from the breast profile region for further edge detection and regions segmentation.
@article{IJACSA.2012.030218,
abstract = {The mammography is the most effective procedure for an early diagnosis of the breast cancer. Finding an accurate and efficient breast region segmentation technique still remains a challenging problem in digital mammography. In this paper we explore an automated technique for mammogram segmentation. The proposed algorithm uses morphological preprocessing algorithm in order to: remove digitization noises and separate background region from the breast profile region for further edge detection and regions segmentation.
},
added-at = {2014-02-21T08:00:08.000+0100},
author = {{Armen Sahakyan}, Hakop Sarukhanyan},
biburl = {https://www.bibsonomy.org/bibtex/29b7abc1f0a8a367b32c3c0079e78d141/thesaiorg},
interhash = {a13d8ea12a56f21bbb561b5c0634bdd2},
intrahash = {9b7abc1f0a8a367b32c3c0079e78d141},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA)},
keywords = {ROI; breast detection; image mammography; masses region segmentation;},
number = 2,
timestamp = {2014-02-21T08:00:08.000+0100},
title = {{Segmentation of the Breast Region in Digital Mammograms and Detection of Masses}},
url = {http://ijacsa.thesai.org/},
volume = 3,
year = 2012
}