Artificial Intelligence in Medical Imaging by Machine Learning and Deep Learning

Abstract

The aim of this chapter is to introduce and discuss on new approaches to machine learning (ML) and deep learning (DL) in the context of medical image analysis. This includes new applications, structures, and algorithms. Additionally, to assess the precision with which DL algorithms detect disease in medical imaging. AI is heavily used in imaging in medicine. Numerous diagnostic activities, including the early identification and categorization of illnesses via the use of MRIs, CT scans, and other medical imaging, have shown the benefits of machine learning and deep learning algorithms. They make it easier to identify flaws, accurately segment organs, and locate malignancies, which speeds up and improves the accuracy of patient diagnosis. Since several review papers have evaluated the contributions of deep learning imaging methods and medical image analysis, this chapter specifically focuses on the assessment and summary of contributions from the Med AI.