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Generalisability and performance of an OCT-based deep learning classifier for community-based and hospital-based detection of gonioscopic angle closure.

Jasmeen RandhawaMichael ChiangNatalia PorporatoAnmol A PardeshiJustin DredgeGalo Apolo ArocaTin A TunJoanne HuiMin QuahMarcus TanRisa HigashitaTin AungRohit VarmaBenjamin Y Xu
Published in: The British journal of ophthalmology (2021)
An OCT-based deep learning classifier demonstrated consistent performance detecting gonioscopic angle closure across three independent patient populations. This automated method could aid ophthalmologists in the assessment of angle status in diverse patient populations.
Keyphrases
  • deep learning
  • high resolution
  • case report
  • artificial intelligence
  • machine learning
  • convolutional neural network
  • optical coherence tomography
  • mass spectrometry
  • quantum dots