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Deep learning based tomosynthesis denoising: a bias investigation across different breast types.

Dominik EckertJulia WickleinMagdalena HerbstStephan DwarsLudwig RitschlSteffen KapplerSebastian Stober
Published in: Journal of medical imaging (Bellingham, Wash.) (2023)
We propose a robust deep learning-based denoising algorithm that reduces DBT projection noise levels and subject it to an extensive test that provides information about its strengths and weaknesses.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • image quality
  • machine learning
  • air pollution
  • health information
  • healthcare
  • magnetic resonance imaging
  • magnetic resonance
  • finite element