On the Relevance of Very Deep Networks for Diabetic Retinopathy Diagnostics

Detection of Diabetic Retinopathy (DR) has been worked on for a long time, but no commercially viable solutions that work for different populations exist yet. In this work, we investigate the performance of Very Deep Networks for the binary classification of fundus images provided by EyePACS as part of Kaggle’s DR detection challenge.