Investigation of the Role of Convolutional Neural Network Architectures in the Diagnosis of Glaucoma using Color Fundus Photography.

Journal: Turkish journal of ophthalmology
Published Date: Jun 29, 2022

Abstract

OBJECTIVES: To evaluate the performance of convolutional neural network (CNN) architectures to distinguish eyes with glaucoma from normal eyes.

Authors

  • Eray Atalay
    Eskişehir Osmangazi University Faculty of Medicine, Department of Ophthalmology, Eskişehir, Turkey.
  • Onur Özalp
    Eskişehir Osmangazi University Faculty of Medicine, Department of Ophthalmology, Eskişehir, Turkey.
  • Özer Can Devecioğlu
    İzmir University of Economics Faculty of Engineering, Department of Electrical and Electronics Engineering, İzmir, Turkey.
  • Hakika Erdoğan
    Maltepe University Faculty of Medicine, Department of Ophthalmology, İstanbul, Turkey.
  • Turker Ince
  • Nilgün Yıldırım
    Eskişehir Osmangazi University Faculty of Medicine, Department of Ophthalmology, Eskişehir, Turkey.

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