Review of Machine Learning and Deep Learning Techniques for Medical Image Analysis

The field of dynamic medical imaging research is witnessing a tremendous growth in machine and deep learning methods. At the moment, significant efforts are being made to improve medical imaging applications by applying these algorithms to identify errors in disease diagnosis systems that might lead to incredibly unclear medical interventions. In medical imaging, machine learning and deep learning algorithms play a significant role in predicting early illness signs. Algorithms for deep learning (DL) and machine learning (ML) provide viable ways to get beyond these restrictions. This research investigates the possibilities of ML and DL for medical picture analysis. In this research study, the foundational ideas of machine learning and deep learning, its uses in medical imaging, such as picture segmentation, reconstruction, and classification, as well as comparisons of their efficacy with more conventional techniques are discussed. This work provides an overview of medical imaging in machine and deep learning technologies to assess various illnesses