A novel statistical approach for detection of suspicious regions in digital mammogram | ||||
Journal of the Egyptian Mathematical Society | ||||
Volume 21, Issue 2, August 2013, Page 162-168 PDF (848.25 K) | ||||
Document Type: Original Article | ||||
DOI: 10.1016/j.joems.2013.02.002 | ||||
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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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