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Comparison of retinal layer thickness measurements obtained using two different swept-source optical coherence tomography imaging modes.

Yo Sep YoonChang Uk ParkJun Ho SongJung Kee Min
Published in: International ophthalmology (2020)
The full retinal thickness measurements determined using both fully automated segmentation algorithms were reliable and clinically acceptable. However, segmentation errors are shown when using the 12 radial wide scanning protocol with fully automated segmentation for measurement of RNFL and GC-IPL thickness.
Keyphrases
  • optical coherence tomography
  • deep learning
  • convolutional neural network
  • diabetic retinopathy
  • machine learning
  • high resolution
  • optic nerve
  • randomized controlled trial
  • high throughput
  • patient safety