High Prevalence of Artifacts in Optical Coherence Tomography With Adequate Signal Strength.

Journal: Translational vision science & technology
Published Date: Aug 1, 2024

Abstract

PURPOSE: This study aims to investigate the prevalence of artifacts in optical coherence tomography (OCT) images with acceptable signal strength and evaluate the performance of supervised deep learning models in improving OCT image quality assessment.

Authors

  • Wei-Chun Lin
    School of Dental Technology, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
  • Aaron S Coyner
    Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon.
  • Charles E Amankwa
    Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
  • Abigail Lucero
    Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
  • Gadi Wollstein
    Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.
  • Joel S Schuman
    Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.
  • Hiroshi Ishikawa
    Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.

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