Korean Journal of Radiology

  • 제21권1호
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  • Pages.33-41
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  • 2020
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  • 1229-6929(pISSN)
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  • 2005-8330(eISSN)
대한영상의학회 (The Korean Society of Radiology)
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Basics of Deep Learning: A Radiologist's Guide to Understanding Published Radiology Articles on Deep Learning

  • Synho Do (Department of Radiology, Massachusetts General Hospital) ;
  • Kyoung Doo Song (Department of Radiology, Massachusetts General Hospital) ;
  • Joo Won Chung (Department of Radiology, Massachusetts General Hospital)
  • 투고 : 2019.05.04
  • 심사 : 2019.08.22
  • 발행 : 2020.01.01
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⟨ 이전 논문 다음 논문 ⟩

초록

Artificial intelligence has been applied to many industries, including medicine. Among the various techniques in artificial intelligence, deep learning has attained the highest popularity in medical imaging in recent years. Many articles on deep learning have been published in radiologic journals. However, radiologists may have difficulty in understanding and interpreting these studies because the study methods of deep learning differ from those of traditional radiology. This review article aims to explain the concepts and terms that are frequently used in deep learning radiology articles, facilitating general radiologists' understanding.

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참고문헌

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