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Keratoconus detection of changes using deep learning of colour-coded maps.

Xu ChenJiaxin ZhaoKatja C IselinDavide BorroniDavide RomanoAkilesh GokulCharles N J McGheeYitian ZhaoMohammad-Reza SedaghatHamed Momeni-MoghaddamMohammed ZiaeiStephen KayeVito RomanoYalin Zheng
Published in: BMJ open ophthalmology (2021)
CNN provides excellent detection performance for keratoconus and accurately grades different severities of disease using the colour-coded maps obtained by the Scheimpflug camera. CNN has the potential to be further developed, validated and adopted for screening and management of keratoconus.
Keyphrases
  • convolutional neural network
  • deep learning
  • loop mediated isothermal amplification
  • label free
  • real time pcr
  • machine learning
  • artificial intelligence
  • mass spectrometry
  • high speed