Detection of Breast Cancer through Mammography Images Using Corner Harris Detection Method and Edge Detection Algorithm
Abstract
Breast cancer is
second amongst almost all types of cancers. It occurs more in woman than in men
globally. Many people in the underdeveloped countries are suffering more due to
inadequate resources, limited healthcare infrastructure etc. There is always a
need for enhancement in the field of medical imaging to solve major problems.
Deep learning plays a major role in the medical imaging process. Deep learning
is a family of machine learning techniques which is more used in medical
imaging and also other fields. Here we use CNN algorithm for the efficient
classification of benign and malignant cancer cells. After the cancer is detected
the cancer stage is depicted using Corner Harris detection method and edge
detection algorithm.
Country : India
1 Pedasanaganti Swetha Nagasri
Assistant Professor, Department of Computer Science And Engineering, Malla Reddy College of Engineering for Women, Hyderabad -500100, Telangana, India
“Breast cancer statistics.” [Online].
Available: http://www.wcrf.org/int/
cancer-factsfigures/data-specific-cancers/breast-cancer-statistics
“Over 40,000 die of breast cancer
every year in pakistan.” [Online]. Available:
http://www.google.com.pk/amp/s/www.dawn.com/news/amp/ 1319675
S. Bagchi and A. Huong, “Signal
processing techniques and computer-aided detection systems for diagnosis of
breast cancer–a review paper,” Indian Journal of Science and Technology, vol.
10, no. 3, 2017.
F. A. Jaffer and R. Weissleder,
“Molecular imaging in the clinical arena,” Jama, vol. 293, no. 7, 2005.
S. Liu, S. Liu, W. Cai, S. Pujol, R.
Kikinis, and D. Feng, “Early diagnosis of alzheimer’s disease with deep
learning,” IEEE, 2014.
