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Deep learning and augmented radiology
0
Zitationen
2
Autoren
2022
Jahr
Abstract
This chapter provides an introduction to deep learning (DL) for radiologists, scientists, academicians, etc. There is an understanding of the basic differences between DL and other approaches of artificial intelligence. In the future, DL will form the foundation of augmented radiology (AR), where patients will be provided real-time, smart, accurate, and cheaper services, reducing mortality rates and improving the quality of life. A comprehensive study of DL and its applications in radiology is provided in the rest of this chapter. A cumulative survey is also performed on the moral, ethical, and legal aspects of DL in the area of radiology.
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