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[New Method of Paired Comparison for Improved Observer Shortage Using Deep Learning Models].

Nariaki TabataTetsuya IjichiHirotaka ItaiMasaru TateishiKento KitaAsami ObataYuna KawaharaLisa SonodaShinichi KatouToshirou InoueTadamitsu Ideguchi
Published in: Nihon Hoshasen Gijutsu Gakkai zasshi (2024)
In paired comparisons with a limited phantom (7-point noise evaluation), the potential use of deep learning was suggested as one of the observers.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • air pollution
  • image quality
  • magnetic resonance imaging
  • computed tomography
  • clinical evaluation
  • climate change
  • monte carlo