Comparative Study of Machine Learning Techniques in the Medical Field

In the ever-advancing field of technology, Artificial Intelligence (AI) has become an important part of our day to day lives. It has demonstrated to improve the efficiencies of working environments thus reducing human effort. In decision making-problems, AI plays a major role in providing useful outcomes but adopting one out of several methods for achieving better results is a rigorous task. The objective of this paper is to understand the various techniques that have contributed in the rising growth of studies using AI and its subfields like Machine Learning and Image Processing especially in the medical field. Machine Learning algorithms have shown impressive accuracies and sensitivity in the recognizable proof of imaging abnormalities. A study on different proposed methodologies involving various algorithms for the stages involved along with their preferences and downsides which can help in the determination and appropriation of the methods later on have been discussed.