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Deep convolutional neural network applied to the liver imaging reporting and data system (LI-RADS) version 2014 category classification: a pilot study.

Rikiya YamashitaAmber MittendorfZhe ZhuKathryn J FowlerCynthia S SantillanClaude B SirlinMustafa R BashirRichard Kinh Gian Do
Published in: Abdominal radiology (New York) (2021)
Our study shows the feasibility of CNN for assigning LI-RADS categories from a relatively small dataset but highlights the challenges of model development and validation.
Keyphrases
  • convolutional neural network
  • deep learning
  • machine learning
  • ion batteries
  • electronic health record
  • big data
  • mass spectrometry
  • solid state
  • data analysis