Abstract
Breast cancer is one of the common globally detected cancers, affecting each year an average of 1.4 million women. It has caused a toll of 1 in 8 out of all cancer-related deaths especially among women under the age of 50. It scores to be the second leading cause of deaths in country as well as other parts of the world (lungs and skin cancer being the major cause of mortality).
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References
O. Arnav, J. Friexenet, J. Marti, E. Pérez, J. Pont, E.R. Denton, R. Zwiggelaar, A review of automatic mass detection and segmentation in mammographic images. Med. Image Anal. 14(2), 87–110 (2010)
J.R. Benson, G.P.H. Gui, T. Tuttle (eds.), Early breast cancer: From screening to Multidisciplinary management, 3rd edn (CRC Press, Boca Raton, 2013
S.E. Brooks, T.M. Hembree, B.J. Shelton, S.C. Beache, G. Aschbacher, P.H. Schervish, M.B. Dignan, Mobile mammography in underserved populations: analysis of outcomes of 3,923 women. J. Commun. Health 38(5), 900–906 (2013)
A.J. Evans, A.R.M. Wilson, H.C. Burrell, I.O. Ellis, S.E. Pinder, Mammographic features of ductal carcinoma in situ present on previous mammography. Clin. Radiol. 54(10), 644–646 (1999)
Q. Fang, J. Selb, S. Carp, G. Boverman, Combined optical and X-ray tomosynthesis breast imaging. Radiology 258(1), 89–97 (2011)
L.S. Gold, G. Klein, L. Carr, L. Kessler, S.D. Sullivan, The emergence of diagnostic imaging technologies in breast cancer: Discovery, regulatory approval, reimbursement, and adoption in clinical guidelines. Cancer Imag. 12(1), 13–24 (2012)
M. Heath, K. Bowyer, D. Kopans, R. Moore, W.P. Kegelmeyer, The digital database for screening mammography, in Proceedings of the 5th International Workshop on Digital Mammography, Toronto Canada, ed. by M.I. Yaffe (Medical Physics Publishing, 2011), pp. 212–218
A. Jalalian, S.B. Mashohor, H.R. Mahmud, M.I. Saripan, A.R. Raml, B. Karasfi, Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: A review. Clin. Imag. 37(3), 420–426 (2013)
D.B. Kopans, Breast imaging, 3rd edn. (Lippincott Williams and Wilkins, Baltimore, MD, 2006)
G. Peters, C.M. Jones, K. Daniels, Why is micro-calcification missed on mammography? J. Med. Imag. Radiation Oncol. 57(1), 32–37 (2013)
E.D. Pisano, M.J. Yaffe, C.M. Kuzmiak, Digital mammography (Lippincott Williams and Wilkins, Philadelphia, 2003)
C. Printz, ACS updates breast cancer screening guidelines. Cancer 122(5), 663 (2016)
G.Q. Rovere, R. Warren, J.R. Benson, Early breast cancer: from screening to multidisciplinary management, 2nd edn. (Informa Healthcare, London, 2005)
K.A. Scanlan, Teaching atlas of mammography. Am. J. Roentgenol. 177(4), 874–874 (2001)
P. Skaane, Studies comparing screen-film mammography and full-field digital mammography in breast cancer screening: updated review. Acta Radiologica 50(1), 3–14 (2009)
J. Suckling, J. Parker, D. Dance, S. Astley, I. Hutt, C. Boggis, I. Ricketts, E. Stamatakis, N. Cerneaz, S. Kok, P. Taylor, D. Betal, J. Savage, The mammographic image analysis society digital mammogram database, in Proceedings of International Congress Series on Exerpta Medica Digital Mammography, UK, vol. 1069 (1994), pp. 375–378
J. Tang, R.M. Rangayyan, J. Xu, I. El Naqa, Y. Yang, Computer-aided detection and diagnosis of breast cancer with mammography: recent advances. IEEE Trans. Inform. Technol. Biomed. 13(2), 236–251 (2009)
T. Tarver, Cancer facts & figures 2012: American cancer society (ACS). J. Consum. Health Internet 16(3), 366–367 (2012)
E. Warner, D. Plewes, R. Shumak, Comparison of breast magnetic resonance imaging, mammography, and ultrasound for surveillance of women at high risk for hereditary breast cancer. J. Clin. Oncol. 19(15), 3524–3531 (2001)
M.J. Yaffe, Detectors for digital mammography, in Digital Mammography, ed. by U. Bick, F. Diekmann (Springer, Berlin, 2010), pp. 13–31
M.J. Yaffe, J.G. Mainprize, Detectors for digital mammography. Technol. Cancer Res. Treatment 3(4), 309–324 (2004)
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Bhateja, V., Misra, M., Urooj, S. (2020). Breast Cancer and Mammographic Anomalies. In: Non-Linear Filters for Mammogram Enhancement. Studies in Computational Intelligence, vol 861. Springer, Singapore. https://doi.org/10.1007/978-981-15-0442-6_2
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DOI: https://doi.org/10.1007/978-981-15-0442-6_2
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