A deep learning-based framework for retinal fundus image enhancement.

Journal: PloS one
Published Date: Mar 16, 2023

Abstract

PROBLEM: Low-quality fundus images with complex degredation can cause costly re-examinations of patients or inaccurate clinical diagnosis.

Authors

  • Kang Geon Lee
    Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul, South Korea.
  • Su Jeong Song
    Department of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Soochahn Lee
    Department of Electronic Engineering, Soonchunhyang University, Asan-si, Republic of Korea. Electronic address: soochahn.lee@gmail.com.
  • Hyeong Gon Yu
  • Dong Ik Kim
    HanGil Eye Hospital, Incheon, South Korea.
  • Kyoung Mu Lee
    Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea.

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