Convolutional Neural Network–Based Prediction of Axial Length Using Color Fundus Photography-Reference-Cited by-同舟云学术

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Convolutional Neural Network–Based Prediction of Axial Length Using Color Fundus Photography

Published:2024-05-29 Issue:5 Volume:13 Page:23
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Yang Che-Ning¹,Chen Wei-Li¹²,Yeh Hsu-Hang²,Chu Hsiao-Sang²³,Wu Jo-Hsuan⁴,Hsieh Yi-Ting¹²

Affiliation:

1. School of Medicine, National Taiwan University, Taipei, Taiwan

2. Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan

3. Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan

4. Shiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, CA, USA

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Reference36 articles.

1. Influence of overnight orthokeratology on axial elongation in childhood myopia;Kakita;Invest Ophthalmol Vis Sci,2011

2. Axial length, corneal radius, and age of myopia onset;González Blanco;Optom Vis Sci,2008

3. Long-term pattern of progression of myopic maculopathy: a natural history study;Hayashi;Ophthalmology,2010

4. Parapapillary gamma zone and axial elongation–associated optic disc rotation: the Beijing Eye Study;Jonas;Invest Ophthalmol Vis Sci,2016

5. Elongation of the disc-fovea distance and retinal vessel straightening in high myopia in a 10-year follow-up of the Beijing Eye Study;Jonas;Sci Rep,2021

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