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Deep learning for differentiation of benign and malignant solid liver lesions on ultrasonography.

Ianto Lin XiJing WuJing GuanPaul J ZhangSteven C HoriiMichael C SoulenZishu ZhangHarrison X Bai
Published in: Abdominal radiology (New York) (2021)
Deep learning algorithms proposed in the current study improve differentiation of benign from malignant ultrasound-captured solid liver lesions and perform comparably to expert radiologists. Deep learning tools can potentially be used to improve the accuracy and efficiency of clinical workflows.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • magnetic resonance imaging
  • contrast enhanced
  • computed tomography
  • magnetic resonance