• Gita Pal
• Neetu Verma

The main focus of this research is to perform Breast Cancer Classification. For this purpose the Convolution Neural Network has been used. However there are several researches in field of CNN based image classification for breast cancer but they have certain limitations. The major limitation of traditional research is that the graphical contents take a lot of space of storage device. Moreover there is need to reduce the comparison time. This research is going to improve the performance of CNN model using edge detection mechanism. During edge detection the useless portion of graphical content is removed. Thus the image size is reduced in order to minimize the comparison time. Proposed research is supposed to improve the performance of traditional CNN network.

Breast cancer classification, Convolution Neural Network, Edge detection mechanism, canny edge detection

"Implementation of breast cancer prediction using enhanced CNN based image classification mechanism", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.41-45, June-2019, Available :http://www.jetir.org/papers/JETIR1906930.pdf

"Implementation of breast cancer prediction using enhanced CNN based image classification mechanism", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp41-45, June-2019, Available at : http://www.jetir.org/papers/JETIR1906930.pdf