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Creating realistic anterior segment optical coherence tomography images using generative adversarial networks.

Jad F AssafAnthony Abou MradDan Z ReinsteinGuillermo AmescuaCyril ZakkaTimothy J ArcherJeffrey YammineElsa LamahMichèle HaykalShady T Awwad
Published in: The British journal of ophthalmology (2024)
This study successfully developed and leveraged GANs capable of generating high-definition synthetic AS-OCT images that are realistic and suitable for machine learning and image analysis tasks.
Keyphrases
  • optical coherence tomography
  • machine learning
  • deep learning
  • diabetic retinopathy
  • convolutional neural network
  • optic nerve
  • artificial intelligence
  • big data
  • network analysis