Abstract
Mammography is specialized medical imaging for scanning the breasts. A mammography exam (A Mammogram) helps in the early detection and diagnosis of breast cancer. Mammogram image segmentation is useful in detecting the breast cancer regions, hence, better diagnosis. In this paper, we applied enhanced double thresholding-based approach for Mammograms’ image segmentation. Moreover, we added the borders of the final segmented image as a contour to the original image helping physicians to easily detect the breast cancer into different Mammograms. The result is enhanced wise effect onto breast cancer qualitative detection into Mammograms, helping physicians for better diagnosis. Generalization for our study is possible for not only x-ray based Mammograms, but also for all biomedical images, as an enhanced segmentation way for better visualization, detection, and feature extraction, thus better diagnosis. Moreover, this manual thresholding method has the advantage of not only reducing processing time but also the processing storage area.
Highlights
Breast cancer is the second common cancer worldwide after the lung cancer, the fifth common cause of cancer death, and the major cause of cancer death in women [1]
In this paper we used the same way of double thresholding segmentation applied in [13] and [14] for mammograms’ image segmentation
Final results of the four sample mammogram images are shown in Fig. 3; where, the top row represent the original mammogram images ordered from 1 till 4 in the same order of the four Mammogram images presented into Table 1
Summary
Breast cancer is the second common cancer worldwide after the lung cancer, the fifth common cause of cancer death, and the major cause of cancer death in women [1]. Beginning in the 1980s, screening mammography led to sweeping improvements in early detection of breast cancer [3]. A mammography exam, called mammogram, helps in the early detection and diagnosis of the breast diseases in women [4]. Screening mammograms are administered to detect breast cancer in women who have no apparent symptoms. Image segmentation is an effective way for detecting the breast cancer regions in mammograms, better diagnosis. More trials had been concerned with breast cancer detection by different segmentation approaches [7]–[11]. Double thresholding segmentation approach is a simple and basic way for dealing with cancer cells image segmentation [12]
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