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Noise-imitation learning: unpaired speckle noise reduction for optical coherence tomography.

Bin YaoLujia JinJiakui HuYuzhao LiuYuepeng YanQing LiYanye Lu
Published in: Physics in medicine and biology (2024)
These findings indicate that the proposed NIL is a simple yet effective method for unpaired OCT speckle noise reduction. The OCT denoising pipeline based on NIL demonstrates exceptional performance and efficiency. By addressing speckle noise without requiring well-registered image pairs, this method can enhance image quality and diagnostic accuracy in clinical practice.
Keyphrases
  • optical coherence tomography
  • air pollution
  • image quality
  • diabetic retinopathy
  • clinical practice
  • computed tomography
  • deep learning
  • magnetic resonance