Login / Signup

A deep learning model for the detection of both advanced and early glaucoma using fundus photography.

Jin Mo AhnSangsoo KimKwang-Sung AhnSung-Hoon ChoKwan Bok LeeUngsoo Samuel Kim
Published in: PloS one (2018)
Both advanced and early glaucoma could be correctly detected via machine learning, using only fundus photographs. Our new model that is trained using convolutional neural network is more efficient for the diagnosis of early glaucoma than previously published models.
Keyphrases
  • deep learning
  • convolutional neural network
  • machine learning
  • artificial intelligence
  • optic nerve
  • diabetic retinopathy
  • systematic review
  • optical coherence tomography
  • resistance training
  • real time pcr