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

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Journal of Basic and Clinical Health Sciences
Volume:6 Issue:3
A Synopsis of Machine and Deep Learning in Medical Physics and Radiology

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

Authors : Zohal EMAM, Emel ADA

Pages : 946-957

Doi:10.30621/jbachs.960154

View : 15 | Download : 13

Publication Date : 2022-09-29

Article Type : Review Paper

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

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