Prediction of Axial Length From Macular Optical Coherence Tomography Using Deep Learning Model-Reference-Cited by-同舟云学术

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Prediction of Axial Length From Macular Optical Coherence Tomography Using Deep Learning Model

Published:2024-09-12 Issue:9 Volume:13 Page:14
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Oh Richul¹²,Kang Myeongkyun³,Ahn Jeeyun²⁴,Lee Eun Kyoung¹²,Bae Kunho¹²,Park Un Chul¹²,Park Kyu Hyung¹²,Yoon Chang Ki¹²

Affiliation:

1. Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea

2. Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea

3. Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea

4. Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Reference25 articles.

1. The complications of myopia: a review and meta-analysis;Haarman;Invest Ophthalmol Vis Sci,2020

2. Association between axial length and myopic maculopathy: the Hisayama Study;Hashimoto;Ophthalmol Retin,2019

3. Long axial length as risk factor for normal tension glaucoma;Oku;Graefes Arch Clin Exp Ophthalmol,2009

4. Myopia: a growing global problem with sight-threatening complications;Holden;Community Eye Health,2015

5. Position of central retinal vascular trunk and preferential location of glaucomatous damage in myopic normal-tension glaucoma;Lee;Ophthalmol Glaucoma,2018

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