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Diabetic retinopathy screening using deep neural network.

Nishanthan RamachandranSheng Chiong HongMary J SimeGraham A Wilson
Published in: Clinical & experimental ophthalmology (2017)
This study has shown that a deep neural network can detect referable diabetic retinopathy with sensitivities and specificities close to or better than 80% from both an international and a domestic (New Zealand) database. We believe that deep neural networks can be integrated into community screening once they can successfully detect both diabetic retinopathy and diabetic macular oedema.
Keyphrases
  • diabetic retinopathy
  • neural network
  • optical coherence tomography
  • type diabetes
  • healthcare
  • mental health
  • emergency department