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Efficient estimation of pharmacokinetic parameters from breast dynamic contrast-enhanced MRI based on a convolutional neural network for predicting molecular subtypes.

Liangliang ZhangMing FanLihua Li
Published in: Physics in medicine and biology (2023)
Our results indicate that the GL-CNN method can be used to accurately and efficiently estimate PK parameters for predicting molecular subtypes.
Keyphrases
  • convolutional neural network
  • deep learning
  • magnetic resonance imaging
  • contrast enhanced
  • single molecule
  • computed tomography
  • magnetic resonance
  • machine learning