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To evaluate the performance of a deep learning (DL) model in classifying diabetic retinopathy (DR) severity using fundus images with varying fields of view (FOV), and to assess whether central retinal features alone reflect overall disease burden. The study also investigates vascular biomarkers within regions contributing to model decisions to explore biological basis of inferences and enhance clinical interpretability.