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Segmentation of diabetic retinopathy is a significant requirement for correct severity estimation level. Due to dissimilarity in shapes, size, and quantity of retinal lesions, the procedure of labor‐intensive type of grading becomes a more time‐consuming and challenging task. It imposes the prerequisite for an automated segmentation framework that can accurately identify the regions with margins and...
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