Quantitative Assessment of Fundus Tessellated Density and Associated Factors in Fundus Images Using Artificial Intelligence.

Abstract

Authors

• Lei Shao
  Key Laboratory for Control Theory & Applications in Complicated Systems, Tianjin University of Technology, Tianjin 300384, China.
• Qing Lin Zhang
  Department of Neurosurgery, Tsinghua University Yuquan Hospital, Beijing, China.
• Teng Fei Long
  Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing, China.
• Li Dong
  Department of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu, China. donglikn199@163.com.
• Chuan Zhang
  West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan Province 610000, China.
• Wen Da Zhou
  Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
• Ya Xing Wang
  Beijing Visual Science and Translational Eye Research Institute (BERI), Eye Center of Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.
• Wen Bin Wei
  Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Keywords

External Resources