Comparative analysis of deep learning architectures for thyroid eye disease detection using facial photographs.

Journal: BMC ophthalmology
PMID: 40169995

Abstract

PURPOSE: To compare two artificial intelligence (AI) models, residual neural networks ResNet-50 and ResNet-101, for screening thyroid eye disease (TED) using frontal face photographs, and to test these models under clinical conditions.

Authors

  • Amirhossein Aghajani
    Department of Oculo-Facial Plastic and Reconstructive Surgery, Farabi Eye Hospital, Tehran University of Medical Sciences, Qazvin Square, Tehran, Iran.
  • Mohammad Taher Rajabi
  • Seyed Mohsen Rafizadeh
  • Amin Zand
    Department of Oculo-Facial Plastic and Reconstructive Surgery, Farabi Eye Hospital, Tehran University of Medical Sciences, Qazvin Square, Tehran, Iran.
  • Majid Rezaei
    Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
  • Mohammad Shojaeinia
    Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Elham Rahmanikhah
    Department of Oculo-Facial Plastic and Reconstructive Surgery, Farabi Eye Hospital, Tehran University of Medical Sciences, Qazvin Square, Tehran, Iran. elhamrahmanikhah@gmail.com.

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