A deep convolutional neural network based framework for breast cancer detection
Debrina Dutta, Debashis Chakraborty · 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) · 2020
Breast cancer, the most common type of cancer for women, has been a trending topic of research for the last few decades. Very less percentage of information can be captured during a mammogram and that makes difficult situation for radiologists to identify carcinoma cells. So we presented a Deep Convolutional Neural Network based carcinoma cell identification classifier with accuracy 97.2%.