Determination of Breast Cancer Using Neural Networks
B. Mahalakshmi, D. Vidhya, N. Niroja, Parthiban Mohankumar · 2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) · 2019
Breast cancer is the second leading causes of disease in women. In practice effective ways to prevent breast cancer is still researched for a better solution, since the cause is not yet organised completely. Early detection is an effective way to diagnose and manage breast cancer can give better chance of full recovery. This work focuses on detection of breast cancer in digital mammograms. In this paper various preprocessing methods, segmentation process and classifier were discussed. In our work, Support Vector Machine is used to show accuracy on the breast cancer image. The accuracy test we had undergone using three SVM techniques.