Diabetic retinopathy screening using deep neural network.
Nishanthan RamachandranSheng Chiong HongMary J SimeGraham A WilsonPublished 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.