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

Eray AtalayOnur OzalpÖzer Can DevecioğluHakika ErdoğanTürker İnceNilgun Yildirim
Published in: Turkish journal of ophthalmology (2022)
An appropriately designed and trained CNN was able to distinguish glaucoma with high accuracy even with a small number of fundus photographs.
Keyphrases
  • convolutional neural network
  • diabetic retinopathy
  • deep learning
  • optic nerve
  • cataract surgery
  • resistance training
  • optical coherence tomography
  • machine learning
  • body composition