DEVELOPMENT AND VALIDATION OF AN EXPLAINABLE ARTIFICIAL INTELLIGENCE FRAMEWORK FOR MACULAR DISEASE DIAGNOSIS BASED ON OPTICAL COHERENCE TOMOGRAPHY IMAGES.

Abstract

Authors

• Bin Lv
  Ping An Healthcare Technology, Shang Hai, PR China.
• Shuang Li
  Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
• Yang Liu
  Department of Computer Science, Hong Kong Baptist University, Hong Kong, China.
• Wei Wang
  State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
• Hongyang Li
  Department of Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Avenue, Ann Arbor, MI, 48109, USA. hyangl@umich.edu.
• Xiaoyue Zhang
  Ping An Healthcare Technology, Beijing, China.
• Yanhui Sha
  Department of Ophthalmology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
• Xiufen Yang
  Department of Ophthalmology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
• Yang Yang
  Department of Gastrointestinal Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
• Yue Wang
  Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
• Chengfen Zhang
  Ping An Healthcare Technology, Beijing, China.
• Yanling Wang
  Department of Neurology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
• Chuanfeng Lv
  Ping An Healthcare Technology, Shang Hai, PR China.
• Guotong Xie
  Ping An Health Technology, Beijing, China.
• Kang Wang
  Department of Orthopedics, Third Hospital of Changsha, Changsha 410015.

Keywords

External Resources