Automated retinopathy of prematurity screening using deep neural networks.

Abstract

Authors

• Jianyong Wang
  1 Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, Sichuan, P. R. China.
• Rong Ju
  Department of Neonatology, Chengdu Women & Children's Central Hospital, Chengdu, PR China.
• Yuanyuan Chen
  Center for Radiation Oncology, Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou 310001, China.
• Lei Zhang
  Division of Gastroenterology, Union Hospital, Tongji Medical College Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Junjie Hu
  Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China.
• Yu Wu
  Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan, 430079, People's Republic of China.
• Wentao Dong
  School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, 330013, China.
• Jie Zhong
  Department of Ophthalmology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, PR China. Electronic address: zjllxx1968@163.com.
• Zhang Yi

Keywords

External Resources