Building a simple diabetic retinopathy classifier with attention

Dr. Rahul Remanan

CEO, Moad Computer

Described in this article is a simple deep convolutional network (CNN), with a state-of-the-art EfficientNet backbone and an attention attention mechanism, to classify the severity of diabetic retinopathy in retinal images. The model can be trained using the publicly available diabetic retinopathy dataset on Kaggle.

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