Efficient Technique to Detect the Region of Interests in Mammogram Images
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Copyright: © 2020 Moussa H. Abdallah, Ayman A. AbuBaker, Rami S. Qahwaji and Mohammed H. Saleh. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Problem Statement: Breast cancer is the second leading cause of cancer deaths in women today after lung cancer and is the most common cancer among women. The development of efficient technique to early detect the region of microcalcifications mammogram images is a must. Approach: The method proposed in this paper is to enhance the Computer Aided Diagnosis (CAD) performance. This automatic method can detect the region of interest in mammogram image accurately and efficiently using a modified standard deviation technique. The proposed method is divided to three steps: (a) reducing the mammogram image size, (b) segmentation the breast region, and, (c) detection the region of interest. Results: The application of the technique on 386 mammogram images from the MIAS and the USF databases showed that the method is so sensitive in detecting the microcalcifications in mammogram images with 98.9% detection of true positive. Conclusions: Hence the technique proposed showed major improvement in the detection of the micro calcification and the mass region.
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- region of interest
- modified standard deviation