A novel statistical approach for detection of suspicious regions in digital mammogram
Abo-Eleneen, Z., Abdel-Azim, G. (2013). A novel statistical approach for detection of suspicious regions in digital mammogram. EKB Journal Management System, 21(2), 162-168. doi: 10.1016/j.joems.2013.02.002
Z.A. Abo-Eleneen; Gamil Abdel-Azim. "A novel statistical approach for detection of suspicious regions in digital mammogram". EKB Journal Management System, 21, 2, 2013, 162-168. doi: 10.1016/j.joems.2013.02.002
Abo-Eleneen, Z., Abdel-Azim, G. (2013). 'A novel statistical approach for detection of suspicious regions in digital mammogram', EKB Journal Management System, 21(2), pp. 162-168. doi: 10.1016/j.joems.2013.02.002
Abo-Eleneen, Z., Abdel-Azim, G. A novel statistical approach for detection of suspicious regions in digital mammogram. EKB Journal Management System, 2013; 21(2): 162-168. doi: 10.1016/j.joems.2013.02.002

A novel statistical approach for detection of suspicious regions in digital mammogram

Journal of the Egyptian Mathematical Society
Volume 21, Issue 2, August 2013, Pages 162-168    PDF (848.25 K)
Document Type: Original Article
DOI: 10.1016/j.joems.2013.02.002
Authors
Z.A. Abo-Eleneen* 1, 2; Gamil Abdel-Azim3
1College of Computer & Informatics, Zagazig University, Egypt
2College of Sciences, Qassim University, Saudi Arabia
3College of Computer & Informatics, Canal Suez University, Egypt
Abstract
In this paper, we propose a novel algorithm to detect the suspicious regions on digital
mammograms that based on the Fisher information measure. The proposed algorithm is tested different
types and categories of mammograms (fatty, fatty-glandular and dense glandular) within
mini-MIAS database (Mammogram Image Analysis Society database (UK)). The proposed method
is compared with a different segmentation based information theoretical methods to demonstrate
their effectiveness. The experimental results on mammography images showed the effectiveness in
the detection of suspicious regions. This study can be a part of developing a computer-aided decision
(CAD) system for early detection of breast cancer.
Keywords
Segmentation image; Mammography images; Breast cancer; Fisher information measure; Information theory
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