A deep learning system for identifying lattice degeneration and retinal breaks using ultra-widefield fundus images-Reference-Cited by-同舟云学术

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A deep learning system for identifying lattice degeneration and retinal breaks using ultra-widefield fundus images

Published:2019-11 Issue:22 Volume:7 Page:618-618
ISSN:2305-5839
Container-title:Annals of Translational Medicine
language:
Short-container-title:Ann. Transl. Med

Author:

Li Zhongwen,Guo Chong,Nie Danyao,Lin Duoru,Zhu Yi,Chen Chuan,Zhang Li,Xu Fabao,Jin Chenjin,Zhang Xiayin,Xiao Hui,Zhang Kai,Zhao Lanqin,Yu Shanshan,Zhang Guoming,Wang Jiantao,Lin Haotian

Publisher

AME Publishing Company

Subject

General Medicine

Cited by 44 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. Deep learning system for screening AIDS-related cytomegalovirus retinitis with ultra-wide-field fundus images;Heliyon;2024-05

2. Opti-EN-net: Optimized ensemble deep neural network for the classification of Retinal Detachment through fundus images;Biomedical Signal Processing and Control;2024-05

3. AI-enhanced digital technologies for myopia management: advancements, challenges, and future prospects;The Visual Computer;2024-04-29

4. Deep Learning-Based Automated Detection of Retinal Breaks and Detachments on Fundus Photography;Translational Vision Science & Technology;2024-04-02

5. Applications of deep learning for detecting ophthalmic diseases with ultrawide-field fundus images;International Journal of Ophthalmology;2024-01-18

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