Deep Learning-Based Classification of Subtypes of Primary Angle-Closure Disease With Anterior Segment Optical Coherence Tomography.

Journal: Journal of glaucoma
PMID: 36897658

Abstract

PRCIS: We developed a deep learning-based classifier that can discriminate primary angle closure suspects (PACS), primary angle closure (PAC)/primary angle closure glaucoma (PACG), and also control eyes with open angle with acceptable accuracy.

Authors

  • Yadollah Eslami
    Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Zahra Mousavi Kouzahkanan
    School of ECE, College of Engineering, University of Tehran, Tehran.
  • Zahra Farzinvash
    Glaucoma Service, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Mona Safizadeh
    Glaucoma Service, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Reza Zarei
    Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Ghasem Fakhraie
    Glaucoma Service, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Zakieh Vahedian
    Glaucoma Service, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Tahereh Mahmoudi
    Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Kaveh Fadakar
    Glaucoma Service, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Alireza Beikmarzehei
    Medical School, Tehran University of Medical Sciences.
  • Seyed Mehdi Tabatabaei
    Glaucoma Service, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.

Keywords

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