DENOISING SWEPT SOURCE OPTICAL COHERENCE TOMOGRAPHY VOLUMETRIC SCANS USING A DEEP LEARNING MODEL.

Journal: Retina (Philadelphia, Pa.)
Published Date:

Abstract

PURPOSE: To evaluate the use of a deep learning noise reduction model on swept source optical coherence tomography volumetric scans.

Authors

  • Gerardo Ledesma-Gil
    Vitreous Retina Macula Consultants of New York, New York, NY.
  • Zaixing Mao
    Topcon Advanced Biomedical Imaging Laboratory, Oakland, New Jersey, USA.
  • Jonathan Liu
    Dept. of Biomedical Engineering, Johns Hopkins University, Baltimore MD.
  • Richard F Spaide
    Vitreous Retina Macula Consultants of New York, New York, New York; and.