Application of Artificial Intelligence to Quantitative Assessment of Fundus Tessellated Density in Young Adults with Different Refractions.

Abstract

Authors

• Runkuan Li
  Shandong University of Traditional Chinese Medicine, Jinan, China, 1326915678@qq.com.
• Xiaoxiao Guo
  Shandong University of Traditional Chinese Medicine, Jinan, China.
• Xiuyan Zhang
  Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
• Xiuzhen Lu
  Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
• Qiuxin Wu
  Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
• Qingmei Tian
  Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
• Bin Guo
• Jing Xu
  First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
• Guodong Tang
  Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
• Jiaojiao Feng
  Shandong University of Traditional Chinese Medicine, Jinan, China.
• Lili Zhao
  Department of Mathematics, Yunnan University, Kunming, Yunnan 650091, China.
• Saiguang Ling
  EVision Technology, Beijing, China.
• Zhou Dong
  School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China.
• Jike Song
  Shandong University of Traditional Chinese Medicine, Jinan, China.
• Hongsheng Bi
  Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, United States of America.

Keywords

External Resources