Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual Field-Reference-Cited by-同舟云学术

Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual Field

Published:2021-11-23 Issue:13 Volume:10 Page:28
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Hashimoto Yohei¹,Kiwaki Taichi²,Sugiura Hiroki²,Asano Shotaro¹,Murata Hiroshi¹³,Fujino Yuri¹⁴,Matsuura Masato¹,Miki Atsuya⁵,Mori Kazuhiko⁶,Ikeda Yoko⁶⁷,Kanamoto Takashi⁸,Yamagami Junkichi⁹,Inoue Kenji¹⁰,Tanito Masaki¹¹,Yamanishi Kenji²,Asaoka Ryo¹¹²¹³¹⁴¹⁵

Affiliation:

1. Department of Ophthalmology, The University of Tokyo, Tokyo, Japan

2. Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

3. Department of Ophthalmology, National Center for Global Health and Medicine, Tokyo, Japan

4. Department of Ophthalmology, Shimane University Faculty of Medicine, Izumo, Japan

5. Department of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan

6. Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan

7. Oike-Ganka Ikeda Clinic, Kyoto, Japan

8. Hiroshima Memorial Hospital, Hiroshima, Japan

9. Department of Ophthalmology, JR General Hospital, Tokyo, Japan

10. Inouye Eye Hospital, Tokyo Japan

11. Department of Ophthalmology, Shimane University Faculty of Medicine, Shimane, Japan

12. Department of Ophthalmology, Seirei Hamamatsu General Hospital, Shizuoka, Japan

13. Seirei Christopher University, Shizuoka, Japan

14. Nanovision Research Division, Research Institute of Electronics, Shizuoka University, Shizuoka, Japan

15. The Graduate School for the Creation of New Photonics Industries, Shizuoka, Japan

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

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1. Artificial intelligence in glaucoma: opportunities, challenges, and future directions;BioMedical Engineering OnLine;2023-12-16

2. Prediction of Central Visual Field Measures From Macular OCT Volume Scans With Deep Learning;Translational Vision Science & Technology;2023-11-02

3. Prediction of visual field progression in glaucoma: existing methods and artificial intelligence;Japanese Journal of Ophthalmology;2023-08-04

4. Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements;American Journal of Ophthalmology;2023-02

5. Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma;Scientific Reports;2022-12-05