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Multiscale denoising generative adversarial network for speckle reduction in optical coherence tomography images.

Xiaojun YuChenkun GeMingshuai LiMuhammad Zulkifal AzizJianhua MoZeming Fan
Published in: Journal of medical imaging (Bellingham, Wash.) (2023)
Results demonstrate that MDGAN is effective and robust for OCT image speckle reductions and outperforms the best state-of-the-art denoising methods in different cases. It could help alleviate the influence of speckles in OCT images and improve OCT imaging-based diagnosis.
Keyphrases
  • optical coherence tomography
  • convolutional neural network
  • diabetic retinopathy
  • deep learning
  • optic nerve
  • high resolution
  • machine learning