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Towards Explainable Deep Neural Networks for the Automatic Detection of Diabetic Retinopathy
Diabetic Retinopathy (DR) is a common complication associated with diabetes, causing irreversible vision loss. Early detection of DR can be very helpful for clinical treatment. Ophthalmologists' manual approach to DR diagnoses is expensive and time-consuming; thus, automatic detection of DR is becoming vital, especially with the increasing number of diabetes patients worldwide. Deep learning methods for analyzing medical images have recently become prevalent, achieving state-of-the-art results.doi:10.3390/app12199435 fatcat:tpeuvp447bgmnag2ryesseug5i