Artificial intelligence in diabetic retinopathy
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Arts and Humanities,Ophthalmology,Sensory Systems
Link
http://www.nature.com/articles/s41433-020-0855-7.pdf
Reference9 articles.
1. Grzybowski A, Brona P, Lim G, Ruamviboonsuk P. Tan GSW, Abramoff M, et al. Artificial intelligence for diabetic retinopathy screening: a review. Eye (Lond). 2020;34:451–60.
2. He J, Cao T, Xu F, Wang S, Tao H, Wu T, et al. Artificial intelligence-based screening for diabetic retinopathy at community hospital. Eye (Lond). 2020;34:572–6.
3. Rajalakshmi R. The impact of artificial intelligence in screening for diabetic retinopathy in India. Eye (Lond). 2020;34:420–1.
4. Zhao M, Jiang Y. Great expectations and challenges of artificial intelligence in the screening of diabetic retinopathy. Eye (Lond). 2020;34:418–9.
5. Mutlukan E, Keating D. Visual field interpretation with a personal computer based neural network. Eye (Lond). 1994;8(Pt 3):321–3.
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