DETECTION AND LOCALIZATION OF RETINAL BREAKS IN ULTRAWIDEFIELD FUNDUS PHOTOGRAPHY USING a YOLO v3 ARCHITECTURE-BASED DEEP LEARNING MODEL.

Journal: Retina (Philadelphia, Pa.)
Published Date: Oct 1, 2022

Abstract

PURPOSE: We aimed to develop a deep learning model for detecting and localizing retinal breaks in ultrawidefield fundus (UWF) images.

Authors

  • Richul Oh
    Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea .
  • Baek-Lok Oh
    Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea.
  • Eun Kyoung Lee
    Division of Nephrology, Department of Internal Medicine, Dankook University Hospital, Dankook University College of Medicine, Cheonan, Korea.
  • Un Chul Park
  • Hyeong Gon Yu
  • Chang Ki Yoon

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