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Classification tree analysis to evaluate the most useful magnetic resonance image type in the differentiation between early and progressed hepatocellular carcinoma.

Fumihito IchinoheDaisuke KomatsuAkira YamadaTakanori AonumaAyumi SakaiMarika ShimizuMasahiro KurozumiAkira ShimizuYuji SoejimaTakeshi UeharaYasunari Fujinaga
Published in: Cancer medicine (2023)
AP is the most useful MR image type and T1in the second in the differentiation between eHCC and pHCC.
Keyphrases
  • magnetic resonance
  • deep learning
  • contrast enhanced
  • machine learning
  • transcription factor
  • magnetic resonance imaging
  • data analysis