ABSTRACT
Medical image analysis is appropriate at this point in time because of deep learning (DL). As of today, deep neural networks are the top-level artificial intelligence (AI) models across a combination of domains, from image analysis to normal language arrangements, and are widely accepted in academia and industry. These advances provide a tremendous viewpoint for advancement in medical imaging, medical data processing, medical diagnostics and medical considerations in the event of continuous resolution in uncertainty. We offer a brief survey of ongoing developments and related problems in AI used for medical image and image processing. As this environment has become broad and rapidly expanding, we will not explore the entire uses scene, but concentrate on DL. This chapter outlines a brief preface for DL, computer education and forged neural networks, strategies for DL, and study of machine learning and profound learning in medical imaging. This session presents the realistic techniques of DL in the study of medical images.
