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Deep learning approach for discrimination of liver lesions using nine time-phase images of contrast-enhanced ultrasound.

Naohisa KamiyamaKatsutoshi SugimotoRyuichi NakaharaTatsuya KakegawaTakao Itoi
Published in: Journal of medical ultrasonics (2001) (2023)
Our proposed model has the potential to identify tumor types earlier than the Kupffer phase, but at the same time, machine learning confirmed that Kupffer-phase Sonazoid images contain essential information for the classification of liver nodules.
Keyphrases
  • deep learning
  • machine learning
  • convolutional neural network
  • artificial intelligence
  • contrast enhanced ultrasound
  • optical coherence tomography
  • risk assessment
  • health information