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Joint segmentation and classification of hepatic lesions in ultrasound images using deep learning.

Hwaseong RyuSeung Yeon ShinJae Young LeeKyoung Mu LeeHyo-Jin KangJonghyon Yi
Published in: European radiology (2021)
• The joint segmentation and classification system using deep learning accurately segmented and classified hepatic lesions selected by user clicks in US examination. • The joint segmentation and classification system for hepatic lesions in US images exhibited higher performance than segmentation only and classification only systems. • The joint segmentation and classification system could assist radiologists with minimal experience in US imaging by characterizing hepatic lesions.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • machine learning
  • magnetic resonance imaging
  • mass spectrometry
  • optical coherence tomography
  • contrast enhanced ultrasound