Application of Machine Learning for Image Processing in the Healthcare Sector

Abstract

Artificial intelligence (AI) is a science by which we can simulate intelligent machines like computers and other digital assistants to mimic human intelligence. AI has many subsets, like deep learning, NLP, ML, robotics, and more. ML uses statistical methods to identify past human behaviour patterns to make a decision that was not fed into the system. Hence with the increase in the depth of the data, their prediction and decision-making improve. In the late 1970's a British company developed the CT scan device to obtain clear tomographic image; this diagnostic technique won a Nobel Prize. Since then, IP has found special applications in the medical field. This chapter attempts to give an overview of the most challenging and useful application of machine learning for image processing, which has led to the elimination of human errors and achieving perfect and precise decision-making. The compassion, caring, and human touch can never be replaced in patient care, but the intervention of machine learning in image processing gives superior insights for better decisions and improved health care.