A Synopsis of Machine and Deep Learning in Medical Physics and Radiology

Machine learning (ML) and deep (DL) technologies introduced in the fields of medical physics, radiology, oncology have made great strides past few years. A good many applications proven to be an efficacious automated diagnosis radiotherapy system. This paper outlines DL's general concepts principles, key computational methods, resources, as well implementation models diagnostic radiology radiation research. In addition, potential challenges solutions DL technology are also discussed.