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

Gongpeng SunXiaoling WangLizhang XuChang LiWenyu WangZuohuizi YiHuijuan LuoYu SuJian ZhengZhiqing LiZhen ChenHongmei ZhengChangzheng Chen
Published in: Ophthalmology and therapy (2022)
High performance was achieved on all three test sets using our UWFI multidisease classification model with a small sample size and fast model inference. The performance of the artificial intelligence model was comparable to that of a physician with 2-5 years of experience in fundus diseases at a tertiary referral hospital. The model is expected to be used as an effective aid for fundus disease screening.
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