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Effects of deep learning on radiologists' and radiology residents' performance in identifying esophageal cancer on CT.

Koichiro YasakaSosuke HatanoMasumi MizukiNaomasa OkimotoTakatoshi KuboEisuke ShibataTakeyuki WatadaniOsamu Abe
Published in: The British journal of radiology (2023)
A deep learning model could mainly help less experienced readers to detect esophageal cancer by improving their diagnostic confidence and diagnostic performance.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • computed tomography
  • image quality
  • contrast enhanced
  • dual energy
  • magnetic resonance imaging
  • positron emission tomography