Deep Learning for the Detection of Multiple Fundus Diseases Using Ultra-widefield Images

Author:

Sun Gongpeng,Wang Xiaoling,Xu Lizhang,Li Chang,Wang Wenyu,Yi Zuohuizi,Luo Huijuan,Su Yu,Zheng Jian,Li Zhiqing,Chen Zhen,Zheng Hongmei,Chen ChangzhengORCID

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Ophthalmology

Reference29 articles.

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2. Schmidt-Erfurth U, Sadeghipour A, Gerendas BS, Waldstein SM, Bogunović H. Artificial intelligence in retina. Prog Retin Eye Res. 2018;67:1–29.

3. Li T, Bo W, Hu C, et al. Applications of deep learning in fundus images: a review. Med Image Anal. 2021;69: 101971.

4. Li B, Chen H, Zhang B, et al. Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography. Br J Ophthalmol. 2022;106(8):1079–86.

5. Lin D, Xiong J, Liu C, et al. Application of comprehensive artificial intelligence retinal expert (CARE) system: a national real-world evidence study. Lancet Digit Health. 2021;3:e486–95.

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