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Development of a deep-learning model for classification of LI-RADS major features by using subtraction images of MRI: a preliminary study.

Junghoan ParkJae Seok BaeJong-Min KimJoseph Nathanael WitantoSang Joon ParkJeong Min Lee
Published in: Abdominal radiology (New York) (2023)
We developed an end-to-end deep-learning model that classifies the LI-RADS major features using subtraction MRI images. Our model exhibited satisfactory performance in classifying LI-RADS major features.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • magnetic resonance imaging
  • machine learning
  • optical coherence tomography
  • computed tomography
  • magnetic resonance
  • solid state