Breast cancer screening is an efficient method to detect breast lesions early. The common techniques are tomosynthesis and mammography images. However, the traditional manual diagnosis requires intense workload for pathologists, hence prone diagnostic errors. Thus, aim of this study was build a deep convolutional neural network automatic detection, segmentation, classification in Based on learn...