Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

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


Affiliations
1 Department of Electronics and Communication Engineering, India
2 Department of EIE, Karunya University, Coimbatore, India
     

   Subscribe/Renew Journal


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.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 130

PDF Views: 3




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

Abstract Views: 130  |  PDF Views: 3

Authors

D. Narain Ponraj
Department of Electronics and Communication Engineering, India
Shahir A. Mirza
Department of Electronics and Communication Engineering, India
P. Poongodi
Department of EIE, Karunya University, Coimbatore, India
Om Prakash Kumar
Department of Electronics and Communication Engineering, India

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.