Predicting the progression of ophthalmic disease based on slit-lamp images using a deep temporal sequence network-Reference-Cited by-同舟云学术

Predicting the progression of ophthalmic disease based on slit-lamp images using a deep temporal sequence network

Published:2018-07-31 Issue:7 Volume:13 Page:e0201142
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Jiang Jiewei^ORCID,Liu Xiyang,Liu Lin,Wang Shuai,Long Erping,Yang Haoqing,Yuan Fuqiang,Yu Deying,Zhang Kai,Wang Liming,Liu Zhenzhen,Wang Dongni,Xi Changzun,Lin Zhuoling,Wu Xiaohang,Cui Jiangtao,Zhu Mingmin,Lin Haotian^ORCID

Funder

National Natural Science Foundation of China (CN)

National Defense Basic Research Project of China

the Youth Pearl River Scholar Funding Scheme

the Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science

Fundamental Research Funds for the Central Universities

the Fundamental Research Funds for the Central Universities

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference37 articles.

1. Digital ocular fundus imaging: a review;R Bernardes;Ophthalmologica,2011

2. A survey on computer aided diagnosis for ocular diseases;Z Zhang;BMC medical informatics and decision making,2014

3. Fundus photography in the 21st century—a review of recent technological advances and their implications for worldwide healthcare;N Panwar;Telemedicine and e-Health,2016

4. Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes;DSW Ting;Jama,2017

5. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs;V Gulshan;Jama,2016

Cited by 21 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. Eye of the future: Unlocking the potential utilization of hydrogels in intraocular lenses;Bioengineering & Translational Medicine;2024-04-23

2. Cataract classification and grading in federated learning environment using CNN based Modified-ResNet-50;Journal of Intelligent & Fuzzy Systems;2024-03-05

3. Application of Artificial Intelligence in Ophthalmology;Artificial Intelligence in Medical Imaging in China;2024

4. Oftalmoloji Klinik Uygulamalarında Yapay Zeka;Izmir Democracy University Health Sciences Journal;2023-12-27

5. Role of artificial intelligence in anterior segment disorders;Journal of Ophthalmic Research and Practice;2023-12-02