NOISE REMOVAL FROM DIGITAL MAMMOGRAM
*Rejoy Chakraborty, Arpan Bairagi, Pritam Samui and Suryabrata Das
Cancer is one of the most virulent diseases in the modern world that still remains a challenge, yet to be fully understood and conquered. Since exact cause of this disease still remains an enigma, preventive measures remain non-existent. It has been reported by several medical scientists that modern day lifestyles, pollution and exposure to hazardous environment may result in mutation of healthy living cells causing cancer. Genetic disorder is also known to cause cancer. Cancer can be found in different parts of the body and is named after the region of their origin like brain cancer, breast cancer, cervical cancer to name a few. Late detection fallouts in higher grade cancer detected with very poor prognosis, consequences into high mortality within few months. Early detection is the only hope for better prognosis and treatment. Breast cancer affecting the women is known to cause high mortality unless detected in time. Detection requires a simple procedure of Mammography followed by biopsy of the tumour or lesions present in the breast tissue. Contemporary Mammographic hardware has incorporated digitization of output image accordingly increasing the scope for implementation of computational methods towards Computer Aided Diagnosis. CAD systems require Medical Image Processing, a multi-disciplinary science that involves development of computational algorithms on medical images. All mammogram images contain artefacts in terms of patient related data that needs to be removed before any further processing can be performed. The proposed system is capable to remove all such artefacts and suppress the pectoral region i.e. devoid of any breast tissue, for further analysis.
Keywords: Breast Cancer, Artefacts, Medical Image Processing and Computer Aided Diagnosis.
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