Efficacy of a Deep Learning System for Screening Myopic Maculopathy Based on Color Fundus Photographs-Reference-Cited by-同舟云学术

Efficacy of a Deep Learning System for Screening Myopic Maculopathy Based on Color Fundus Photographs

Published:2022-12-10 Issue:1 Volume:12 Page:469-484
ISSN:2193-8245
Container-title:Ophthalmology and Therapy
language:en
Short-container-title:Ophthalmol Ther

Author:

Wang Ruonan,He Jiangnan,Chen Qiuying,Ye Luyao,Sun Dandan,Yin Lili,Zhou Hao,Zhao Lijun,Zhu Jianfeng,Zou Haidong,Tan Qichao,Huang Difeng,Liang Bo,He Lin,Wang Weijun,Fan Ying,Xu Xun

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Publisher

Springer Science and Business Media LLC

Subject

Ophthalmology

Link

https://link.springer.com/content/pdf/10.1007/s40123-022-00621-9.pdf

Reference48 articles.

1. Iwase A, Araie M, Tomidokoro A, et al. Prevalence and causes of low vision and blindness in a Japanese adult population: the Tajimi study. Ophthalmology. 2016;113(8):1354–62. https://doi.org/10.1016/j.ophtha.2006.04.022.

2. Shimada N, Tanaka Y, Tokoro T, Ohno-Matsui K. Natural course of myopic traction maculopathy and factors associated with progression or resolution. Am J Ophthalmol. 2013;156:948-957.e1.

3. Holden BA, Fricke TR, Wilson DA, et al. Global prevalence of myopia and high myopia and temporal trends from 2000 through 2050. Ophthalmology. 2016;123(5):1036–42. https://doi.org/10.1016/j.ophtha.2016.01.006.

4. Tang YT, Wang XF, Wang JC, et al. Prevalence and causes of visual impairment in a Chinese adult population: the Taizhou eye study. Ophthalmology. 2015;122(7):1480–8. https://doi.org/10.1016/j.ophtha.2015.03.022.

5. Morgan IG, French AN, Ashby RS, et al. The epidemics of myopia: aetiology and prevention. Progress Retinal Eye Res. 2018;62:134–49. https://doi.org/10.1016/j.preteyeres.2017.09.004.

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Smartphone App to Detect Pathological Myopia Using Spatial Attention and Squeeze‐Excitation Network as a Classifier and Segmentation Encoder;International Journal of Imaging Systems and Technology;2024-08-27

2. Multi-class classification of pathological myopia based on fundus photography;Journal of Innovative Optical Health Sciences;2024-08-17

3. Self-supervised learning-enhanced deep learning method for identifying myopic maculopathy in high myopia patients;iScience;2024-08

4. Efficient pyramid channel attention network for pathological myopia recognition with pretraining-and-finetuning;Artificial Intelligence in Medicine;2024-08

5. Using Deep Learning to Distinguish Highly Malignant Uveal Melanoma from Benign Choroidal Nevi;Journal of Clinical Medicine;2024-07-16