Abstract: Highlights•Comprehensive exploration of Diabetic Retinopathy.•Introduction of a dual-branch deep learning network for detection and stage grading of Diabetic Retinopathy.•Leveraging ResNet50 and EfficientNetB0 as feature extractors.•Training the model on a merged dataset from multiple resources and evaluating it on the benchmark APTOS 2019 dataset.
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