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Diabetic Retinopathy (DR) is a major cause of preventable blindness, and early detection is crucial for treatment. This study proposes a deep learning model using MobileNetV2 for efficient and accurate classification of DR, addressing challenges of computational complexity and limited datasets. The model aims to facilitate real-time screening and improve accessibility to eye care, particularly in low-income communities.

Author

jogendra1397

Language

EN