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Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma.

Miguel Angel ZapataDídac Royo-FiblaOctavi FontJosé Ignacio VelaIvanna MarcantonioEduardo Ulises Moya-SánchezAbraham Sánchez-PérezDario García-GasullaUlises CortésEduard AyguadéJesus Labarta
Published in: Clinical ophthalmology (Auckland, N.Z.) (2020)
Deep learning algorithms can differentiate a retinal fundus image from other images. Algorithms can evaluate the quality of an image, discriminate between right or left eye and detect the presence of AMD and GON with a high level of accuracy, sensitivity and specificity.
Keyphrases
  • deep learning
  • artificial intelligence
  • diabetic retinopathy
  • optical coherence tomography
  • machine learning
  • convolutional neural network
  • big data
  • optic nerve
  • pulmonary embolism
  • cataract surgery