• V SHAIK MOHAMMAD SHAHIL
• Dr. T. SENTHIL
• Dr. R. KARUNIA KRISHNAPRIYA
• Mr. PANDRETI PRAVEEN
• Mr. N.VIJAYA KUMAR

One of the main causes of vision loss and blindness in the world today is diabetic retinopathy (DR), which is brought on by persistently elevated blood sugar levels linked to diabetes. For efficient treatment and to stop the progression of the disease, early detection through routine retinal screening is essential. By utilizing cutting-edge deep learning algorithms, this effort seeks to improve the DR diagnostic procedure. For reliable and accurate feature extraction, the suggested framework combines DeepDR+, an improved version of the DeepDR system, with sophisticated Convolutional Neural Networks (CNNs). To ensure better model performance and generalization over a range to produce realistic and varied training datasets. Early symptom identification is made possible by these advancements, which greatly improve the sensitivity and specificity of DR detection. The technology provides scalable, effective solutions for broad clinical adoption by decreasing reliance on mutual screening techniques, showcasing DeepDR+’s revolutionary potential to alter the diagnosis and treatment of diabetic retinopathy.Early symptom identification is made possible by this method, which improves patient outcomes by raising the sensitivity and specificity of DR detection. By automating the diagnostic process, DeepDR+ mitigates scalability issues in clinical settings and lessens reliance on manual screening techniques. These developments demonstrate how artificial intelligence (AI) has the potential to completely change the diagnosis and treatment of diabetic retinopathy, opening the door for wider clinical adoption and better eye health outcomes worldwide.

Deep Learning, DeepDr+, CNN, GAN’s, Diabetic Retinopathy

"A DEEP LEARNING SYSTEM FOR DETECTING DIABETIC RETINOPATHY(DR)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.a733-a738, March-2025, Available :http://www.jetir.org/papers/JETIR2503091.pdf

"A DEEP LEARNING SYSTEM FOR DETECTING DIABETIC RETINOPATHY(DR)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppa733-a738, March-2025, Available at : http://www.jetir.org/papers/JETIR2503091.pdf