Diabetic Retinopathy Detection Using Transfer Learning and CNN Architectures

Original price was: ₹6,999.00.Current price is: ₹3,999.00. inc GSTs*

Manual screening for diabetic retinopathy is a labor-intensive process prone to human error, particularly in early-stage microaneurysm detection. With the global rise in diabetic populations, automated, high-precision screening systems are essential to prevent permanent visual impairment through rapid, large-scale ocular fundus analysis.

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This project implements an automated diagnostic tool for detecting and grading diabetic retinopathy severity from retinal fundus images. It utilizes transfer learning with pre-trained architectures such as InceptionV3 and ResNet50 to achieve high sensitivity in identifying pathological lesions. The system processes high-resolution ocular images to categorize the condition into five clinical stages. The final application provides a rapid screening solution for ophthalmologists, facilitating mass-scale diagnostics in rural or underserved regions where specialized eye care infrastructure is limited.

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Diabetic Retinopathy Detection Using Transfer Learning and CNN Architectures

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