Paper Title
Classification of Breast Cancer Tumors using Deep Learning

Abstract
Breast Cancer is one of the most dangerous disease as it cause millions of deaths in each year. Generally, tumors can be classified in two types: Benign and malignant, they are non-cancer and cancer tumors, respectively. Therefore, early detection of tumor class is important to increase the quality of life. In this paper, we have proposed an approach to classify the cancer and non-cancer breast tumors. The proposed approach capture the important features using an ensemble classifier from a large number of raw image features. Then the extracted features are feed to a Convolutional Neural Network to learn the knowledge of the tumor classifier. A 10-fold cross validation technique is followed in the evaluation and the experimental results shows 99.43 of classification accuracy. Keywords - Breast Cancer, Prediction, Detection, Convolutional Neural Networks.