Breast Cancer Classification Using Deep Convolutional Neural Networks

Breast cancer remains the primary causes of death for women and much effort has been depleted in form screening series prevention. Given exponential growth number mammograms collected, computer-assisted diagnosis become a necessity. Histopathological imaging is one methods where Pathologists examine tissue cells under different microscopic standards but disagree on final decision. In this context, use automatic image processing techniques resulting from deep learning denotes promising avenue assisting breast cancer. paper, an android software classification using approach based Convolutional Neural Network (CNN) was developed. The aims to classify tumors benign or malignant. Experimental results histopathological images BreakHis dataset shows that DenseNet CNN model achieved high performances with 96% accuracy task when compared state-of-the-art modelsKeywords— classification, (CNN), learning, DenseNet,