Identification of diabetic retinopathy classification using machine learning algorithms on clinical data and optical coherence tomography angiography-Reference-Cited by-同舟云学术

Identification of diabetic retinopathy classification using machine learning algorithms on clinical data and optical coherence tomography angiography

Published:2024-06-13 Issue: Volume: Page:
ISSN:0950-222X
Container-title:Eye
language:en
Short-container-title:Eye

Author:

Li Xiaoli,Wen Xin,Shang Xianwen,Liu Junbin,Zhang Liang^ORCID,Cui Ying,Luo Xiaoyang,Zhang Guanrong,Xie Jie,Huang Tian,Chen Zhifan,Lyu Zheng,Wu Xiyu,Lan Yuqing,Meng Qianli^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41433-024-03173-3.pdf

Reference42 articles.

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5. Wong TY, Sun J, Kawasaki R, Ruamviboonsuk P, Gupta N, Lansingh VC, et al. Guidelines on diabetic eye care: the international council of ophthalmology recommendations for screening, follow-up, referral, and treatment based on resource settings. Ophthalmology 2018;125:1608–22.