Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images
Zhongwen Li(Wenzhou Medical University), Haotian Lin(Sun Yat-sen University), Danyao Nie(Jinan University), Chenjin Jin(Sun Yat-sen University), Weiyi Lai(Sun Yat-sen University), LI Jian-yin(Sun Yat-sen University), Daniel Shu Wei Ting(Singapore National Eye Center), Chong Guo(Sun Yat-sen University), Weibo Feng(Sun Yat-sen University), Xiayin Zhang(Singapore National Eye Center), Fabao Xu(Qilu Hospital of Shandong University), Xiaohang Wu(Sun Yat-sen University), Lanqin Zhao(Sun Yat-sen University), Kai Zhang(Guizhou University), Chuan Chen(Tianjin University of Traditional Chinese Medicine), Yi Zhu(Mayo Clinic in Arizona), Yonghao Li(Sun Yat-sen University), Hui Xiao(Second Military Medical University), Pisong Yan(People's Hospital of Xinjiang Uygur Autonomous Region), Duoru Lin(Sun Yat-sen University)
Cited by 101
Related Papers
Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045
|Ophthalmology|2021|2.2k
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
|Nature Medicine|2022|636
m6A RNA Methylation Is Regulated by MicroRNAs and Promotes Reprogramming to Pluripotency
|Cell stem cell|2015|553
Logistic regression was as good as machine learning for predicting major chronic diseases
|Journal of Clinical Epidemiology|2020|523