Efficacy for Differentiating Nonglaucomatous Versus Glaucomatous Optic Neuropathy Using Deep Learning Systems.

Journal: American journal of ophthalmology
Published Date: Apr 2, 2020

Abstract

PURPOSE: We sought to assess the performance of deep learning approaches for differentiating nonglaucomatous optic neuropathy with disc pallor (NGON) vs glaucomatous optic neuropathy (GON) on color fundus photographs by the use of image recognition.

Authors

  • Hee Kyung Yang
    Department of Ophthalmology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • Young Jae Kim
    Department of Biomedical Engineering, College of Medicine, Gachon University, Gyeonggi-do, Republic of Korea.
  • Jae Yun Sung
    Department of Ophthalmology, Chungnam National University Sejong Hospital, Chungnam National University College of Medicine, Daejeon, Korea.
  • Dong Hyun Kim
    Department of Ophthalmology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • Kwang Gi Kim
    Department of Biomedical Engineering Branch, National Cancer Center, Gyeonggi-do, South Korea.
  • Jeong-Min Hwang
    Department of Ophthalmology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seoul, Korea. Electronic address: hjm@snu.ac.kr.

Keywords

External Resources

Popular Topics
Recent Journals