Retinal Photograph-based Deep Learning System for Detection of Thyroid-Associated Ophthalmopathy.

Journal: The Journal of craniofacial surgery
Published Date: Dec 11, 2023

Abstract

BACKGROUND: The diagnosis of thyroid-associated ophthalmopathy (TAO) usually requires a comprehensive examination, including clinical symptoms, radiological examinations, and blood tests. Therefore, cost-effective and noninvasive methods for the detection of TAO are needed. This study aimed to establish a deep learning-based system to detect TAO based on retinal photographs.

Authors

  • Xue Jiang
    Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
  • Li Dong
    Department of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu, China. donglikn199@163.com.
  • Lihua Luo
    Reproductive and Genetic Hospital, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
  • Kai Zhang
    Anhui Province Key Laboratory of Respiratory Tumor and Infectious Disease, First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
  • Dongmei Li
    Clinical and Translational Science Institute, University of Rochester School of Medicine and Dentistry, Rochester, New York.

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