Deep learning is rapidly emerging, leading to dramatic advances in some medical applications. The application of the Deep Learning Approach to medical image processing is quickly growing as a field of study to determine whether diseases are present or not. Most Deep Learning Applications implementations focus on digital histopathological images, computed tomography, X-ray images, and mammograms. The latest technique in machine learning is believed to be inspired by deep learning algorithms and applications. This paper presents a comprehensive review on classification, detection, and segmentation of medical images via Deep Learning Applications.