Major advances in computer science are beginning to have an impact on radiology. The rapid achievements in performance for object detection in natural images have enabled these impacts. There has been an explosion of research interest and number of publications regarding the use of deep learning in radiology. In this presentation, we'll show examples of how deep learning has led to major performance improvements in radiology image analysis, including image segmentation and computer aided diagnosis.