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Machine learning for malignant versus benign focal liver lesions on US and CEUS: a meta-analysis.

Carlos Alberto CampelloEverton Bruno CastanhaMarina VilardoPedro V StaziakiMartina Zaguini FranciscoBahram MohajerGuilherme WatteFabio Ynoe MoraesBruno HochheggerStephan Philip Leonhardt Altmayer
Published in: Abdominal radiology (New York) (2023)
The diagnostic performance of ML algorithms for the malignant classification of FLLs was high for both US and CEUS with overall similar sensitivity and specificity. The similar performance of US may be related to the higher prevalence of DL models in that group.
Keyphrases
  • machine learning
  • contrast enhanced ultrasound
  • deep learning
  • artificial intelligence
  • big data
  • risk factors