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Running pattern of choroidal vessel in en face OCT images determined by machine learning-based quantitative method.

Hideki ShiiharaTaiji SakamotoHiroto TerasakiNaoko KakiuchiYuki ShinoharaMasatoshi TomitaShozo Sonoda
Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2019)
The present algorithm can analyze vessels in Haller's layer of the en face images of choroid in an objective manner with good repeatability.
Keyphrases
  • optical coherence tomography
  • machine learning
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • diabetic retinopathy
  • optic nerve
  • big data
  • high intensity
  • high resolution