通过对视网膜图像应用的深度学习对糖尿病病的非侵入性活检诊断:基于人口的研究

Ziyao Meng¹, Zhouyu Guan², Shujie Yu²+60

• ¹Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Institute for Proactive Healthcare, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Centre for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China; MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.+29