Convolutional neural network improvement for breast cancer classification

Fung Fung Ting, Yen Jun Tan, Kok Swee Sim

Abstract: Highlights•Propose a deep classification algorithm for mammogram images.•The deep classification performance is improved by the feature wise pre-processing.•Application of proposed technique to detect and classify breast cancer.•An intricate designed classification trained using extracted features.•Achieved classification accuracy of 90.50% and specificity of 90.71%.