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Magician's Corner: 7. Using Convolutional Neural Networks to Reduce Noise in Medical Images.

Nathan Robert HuberAndrew D MissertBradley J Erickson
Published in: Radiology. Artificial intelligence (2020)
This article shows how to train a convolutional neural network to reduce noise in CT images, although the principles apply to medical and nonmedical images; authors also explore mathematical and visually weighted loss functions to adjust the appearance.
Keyphrases
  • convolutional neural network
  • deep learning
  • healthcare
  • air pollution
  • contrast enhanced
  • computed tomography
  • magnetic resonance
  • magnetic resonance imaging
  • image quality
  • positron emission tomography
  • pet ct