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Effect of Orientations on the Mammograms for the Detection of Breast Cancer Using Gabor Filter

D. Narain Ponraj, Shahir A. Mirza, Dr.P. Poongodi, Om Prakash Kumar

Abstract


Breast cancer is a cancer that starts in the tissues of the breast. Early breast cancer usually does not cause symptoms. Mammography is the most effective way of detecting breast cancer early. Screening for breast cancer is a topic filled with controversy. A mammogram is an x-ray picture of the breasts. It is used to find tumors and to help tell the difference between noncancerous (benign) and cancerous (malignant) disease. The Gabor Filters have received considerable attention because the characteristics of certain cells in the visual cortex of some mammals can be approximated by these filters. In this paper, various responses of Gabor filters are considered which prove to be useful for feature extraction from mammograms for breast cancer detection.

Keywords


Benign, Features, Mammography, Malignant

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References


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