A deep learning interpretable classifier for diabetic retinopathy disease grading

Jordi de La Torre, Aïda Valls, Domenec Puig

Abstract: Highlights•Derivation of an alternative method for the interpretation of deep learning models.•Design a human-expert level deep learning diabetic retinopathy classification model.•Design a diabetic retinopathy interpretable classifier.•Visualization of typical feature and input space score map samples.