Improving the Structure-Function Relationship in Glaucomatous Visual Fields by Using a Deep Learning-Based Noise Reduction Approach.

Abstract

Authors

• Ryo Asaoka
  Department of Ophthalmology, The University of Tokyo, Tokyo, Japan.
• Hiroshi Murata
  Department of Ophthalmology, The University of Tokyo, Tokyo, Japan.
• Masato Matsuura
  Department of Ophthalmology, The University of Tokyo, Tokyo, Japan; Moorfields Eye Hospital National Health Service Foundation Trust and University College London, Institute of Ophthalmology, London, United Kingdom.
• Yuri Fujino
  Department of Ophthalmology, The University of Tokyo, Tokyo, Japan.
• Mieko Yanagisawa
  Department of Ophthalmology, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
• Takehiro Yamashita
  Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.

Keywords

External Resources