Abstract: Background: Breast cancer can be cured if diagnosed early, with digital mammography which is one of the most effective imaging modalities for early breast cancer detection. However mammogram images often come with low contrast, high background noises and artifacts, all these things making diagnosis difficult. The purpose of this paper is to preprocessing digital mammogram images to improve results with a computer aided diagnosis (CAD) system. In this paper we have proposed three distinct methods:image processing to removing unwanted objects method;
a breast border detection and segmentation method; and a pectoral muscle detection and suppression method.
Materials and Methods: The presented method in this paper applied image contour extraction technique by computer technology in.......
Key Word: Mammogram images, Breast Border, Pectoral Muscle, Segmentation, Breast Contour
[1]. Breast Cancer Facts Figures, 2009–2010, American Cancer Society, Inc.
[2]. J. Norum, Breast cancer screening by mammography in Norway. Is it cost-effective? Ann. Oncol. 10 (1999) 197–203.
[3]. Youlden DR, Cramb SM, Yip CH, Baade PD (2014). Incidence and mortality of female breast cancer in the Asia-Pacific region. Cancer Biol Med, 11, 101–15.
[4]. M.K.J. Siddiqui, M. Anand, P.K. Mehrotr, R. Sarangi, N. Mathur, Biomonitoring of organochlorines in women with benign and malignant breast disease, Environ. Res. 1 (2004) 1–8.
[5]. Suckling J., Parker J., Dance D.R., Astley S., Hutt I., Boggis C.R.M., Ricketts I., Stamatakis E., Cernaez N., Kok S.L., Taylor P., Betal D., Savage J., "The Mammographic Image Analysis Society Digital Mammogram Database", Proceedings of the 2nd