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Self-supervised denoising of Nyquist-sampled volumetric images via deep learning.

Matthew B ApplegateKivanc KoseSandesh GhimireMilind RajadhyakshaJennifer Dy
Published in: Journal of medical imaging (Bellingham, Wash.) (2023)
noise2Nyquist can be used to denoise any volumetric dataset sampled at at least the Nyquist rate making it useful for a wide variety of existing datasets.
Keyphrases
  • deep learning
  • convolutional neural network
  • machine learning
  • artificial intelligence
  • air pollution
  • optical coherence tomography
  • rna seq