Segmentation of the Breast Region in Digital Mammograms and Detection of Masses

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.

Armen Sahakyan and Hakop Sarukhanyan. “Segmentation of the Breast Region in Digital Mammograms and Detection of Masses”. International Journal of Advanced Computer Science and Applications (IJACSA) 3.2 (2012). http://dx.doi.org/10.14569/IJACSA.2012.030218

@article{Sahakyan2012,
title = {Segmentation of the Breast Region in Digital Mammograms and Detection of Masses},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.030218},
url = {http://dx.doi.org/10.14569/IJACSA.2012.030218},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {2},
author = {Armen Sahakyan and Hakop Sarukhanyan}
}