Deep Learning for Anterior Segment Optical Coherence Tomography to Predict the Presence of Plateau Iris.

Journal: Translational vision science & technology
Published Date:

Abstract

PURPOSE: The purpose of this study was to evaluate the diagnostic performance of deep learning (DL) anterior segment optical coherence tomography (AS-OCT) as a plateau iris prediction model.

Authors

  • Boonsong Wanichwecharungruang
    Department of Ophthalmology, Rajavithi Hospital, Bangkok, Thailand.
  • Natsuda Kaothanthong
    Sirindhorn International Institute of Technology, Thammasat University, Pathumthani, Thailand.
  • Warisara Pattanapongpaiboon
    Department of Ophthalmology, Rajavithi Hospital, Bangkok, Thailand.
  • Pantid Chantangphol
    Sirindhorn International Institute of Technology, Thammasat University, Pathumthani, Thailand.
  • Kasem Seresirikachorn
    Department of Ophthalmology, College of Medicine, Rangsit University, Rajavithi Hospital, Bangkok, Thailand.
  • Chaniya Srisuwanporn
    Department of Ophthalmology, Rajavithi Hospital, Bangkok, Thailand.
  • Nucharee Parivisutt
    Department of Ophthalmology, Rajavithi Hospital, Bangkok, Thailand.
  • Andrzej Grzybowski
    Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, Poznan, Poland.
  • Thanaruk Theeramunkong
    The School of Information, Communication and Computer Technologies, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani 12120, Thailand.
  • Paisan Ruamviboonsuk
    Rajavithi Hospital, Bangkok, Thailand.