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SaveRetinal features as predictive indicators for high myopia: insights from explainable multi-machine learning models
Zou, Haohan; Liu, Jing; Shi, Shenda; Ling, Saiguang; Fan, Qian; Huo, Yan; Dong, Zhou; Han, Guoge; Wang, Shengjin; Wang, Yan Share Save Share Save Share Save PM2.5 Exposure as a Risk Factor for Optic Nerve Health in Type 2 Diabetes MellitusYuan, Tianyi; Cheng, Minna; Ma, Yingyan; Zou, Haidong; Kan, Haidong; Meng, Xia; Guo, Yi; Peng, Ziwei; Xu, Yi; Lu, Lina; Ling, Saiguang; Dong, Zhou; Wang, Yuheng; Yang, Qinping; Xu, Wenli; Shi, Yan; Liu, Cong; Lin, Senlin Share Save The influence of insulin on diabetic retinopathy and retinal vessel parameters in diabetesYuan, Tianyi; Lin, Senlin; Xu, Yi; Lu, Lina; Cheng, Minna; Wang, Yuheng; Yang, Qinping; Ling, Saiguang; Zhou, Dengji; Shi, Yan; Zou, Haidong; Ma, Yingyan Share Save Deep Learning-Enabled Vasculometry Depicts Phased Lesion Patterns in High Myopia ProgressionHe, Hai-Long; Liu, Yi-Xin; Liu, Hanruo; Zhang, Xiaomei; Song, Hao; Xu, Tian-Ze; Fang, Yuxin; Ma, Ya; Ren, Hao-Ying; Ling, Sai-Guang; Dong, Zhou; Xu, Jie; Qin, Lei; Wong, Tien Yin; Ang, Marcus; Jin, Zi-Bing Share Save Remnant cholesterol is correlated with retinal vascular morphology and diabetic retinopathy in type 2 diabetes mellitus: a cross-sectional studyChen, Shuli; Xu, Yi; Chen, Bo; Lin, Senlin; Lu, Lina; Cheng, Minna; Wang, Yuheng; Yang, Qinping; Ling, Saiguang; Zhou, Dengji; Shi, Yan; Zou, Haidong; Ma, Yingyan Share Save Share Save Share Save Share Save Share Save A Generic Pixel Pitch Calibration Method for Fundus Camera via Automated ROI ExtractionLong, Tengfei; Xu, Yi; Zou, Haidong; Lu, Lina; Yuan, Tianyi; Dong, Zhou; Dong, Jiqun; Ke, Xin; Ling, Saiguang; Ma, Yingyan Share Save Prediction of the Fundus Tessellation Severity With Machine Learning MethodsShao, Lei; Zhang, Xiaomei; Hu, Teng; Chen, Yang; Zhang, Chuan; Dong, Li; Ling, Saiguang; Dong, Zhou; Zhou, Wen Da; Zhang, Rui Heng; Qin, Lei; Wei, Wen Bin Share Save 
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