Basics of deep learning: A radiologist’s guide to understanding published radiology articles on deep learning

Research output: Contribution to journalReview articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)33-41
Number of pages9
JournalKorean Journal of Radiology
Volume21
Issue number1
DOIs
StatePublished - Jan 2020

Keywords

  • Artificial intelligence
  • Convolutional neural network
  • Deep learning
  • Radiology

Fingerprint

Dive into the research topics of 'Basics of deep learning: A radiologist’s guide to understanding published radiology articles on deep learning'. Together they form a unique fingerprint.

Cite this