Multidisease Deep Learning Neural Network for the Diagnosis of Corneal Diseases.

Journal: American journal of ophthalmology
PMID: 33529589

Abstract

PURPOSE: To report a multidisease deep learning diagnostic network (MDDN) of common corneal diseases: dry eye syndrome (DES), Fuchs endothelial dystrophy (FED), and keratoconus (KCN) using anterior segment optical coherence tomography (AS-OCT) images.

Authors

  • Amr Elsawy
    Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami; Electrical and Computer Engineering, University of Miami, Coral Gables.
  • Taher Eleiwa
    Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami; Department of Ophthalmology, Faculty of Medicine, Benha University, Egypt.
  • Collin Chase
    Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami.
  • Eyup Ozcan
    Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami; Net Eye Medical Center, Gaziantep, Turkey.
  • Mohamed Tolba
    Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami.
  • William Feuer
    Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami.
  • Mohamed Abdel-Mottaleb
    Electrical and Computer Engineering, University of Miami, Coral Gables.
  • Mohamed Abou Shousha
    Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami; Electrical and Computer Engineering, University of Miami, Coral Gables; Biomedical Engineering, University of Miami, Coral Gables, Florida, USA. Electronic address: Mshousha@med.miami.edu.

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