Imaging procedures in medicine are beneficial in diagnosing and treating a wide range of medical disorders. Because the images recorded by the many different imaging modalities are often complicated, image processing methods are required to improve their quality and get relevant information from them. Image processing has made it possible to construct computer-aided diagnostic (CAD) systems, which are designed to assist medical practitioners in detecting and identifying disorders. Isolating specific structures inside the body and following their evolution over time is now feasible because of recent advances in imaging techniques such as image segmentation and registration. Additionally, the use of image processing to build virtual and augmented reality environments has led to improvements in medical education and training and in the planning and execution of surgical procedures. This abstract focuses on how image processing has revolutionized medical imaging and made it possible for medical practitioners to identify and treat illnesses more efficiently.