Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52506, first published .
Impact of Gold-Standard Label Errors on Evaluating Performance of Deep Learning Models in Diabetic Retinopathy Screening: Nationwide Real-World Validation Study

Impact of Gold-Standard Label Errors on Evaluating Performance of Deep Learning Models in Diabetic Retinopathy Screening: Nationwide Real-World Validation Study

Impact of Gold-Standard Label Errors on Evaluating Performance of Deep Learning Models in Diabetic Retinopathy Screening: Nationwide Real-World Validation Study

Yueye Wang   1, 2 * , Dr med ;   Xiaotong Han   1 * , PhD, Prof Dr Med ;   Cong Li   1 , Dr med ;   Lixia Luo   1 , PhD, Prof Dr Med ;   Qiuxia Yin   1 , MPH ;   Jian Zhang   1 , MD ;   Guankai Peng   3 , BSc ;   Danli Shi   2, 4 , PhD, Dr med ;   Mingguang He   2, 4, 5 , PhD, Prof Dr Med

1 State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China

2 School of Optometry, The Hong Kong Polytechnic University, Kowloon, China (Hong Kong)

3 Guangzhou Vision Tech Medical Technology Co, Ltd, Guangzhou, China

4 Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Kowloon, China (Hong Kong)

5 Centre for Eye and Vision Research, Hong Kong, China (Hong Kong)

*these authors contributed equally

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