Optimizing Retinal Disease Diagnosis through ResNet-Based Deep Learning

Sreedevi, P. and Tabitha, B. (2025) Optimizing Retinal Disease Diagnosis through ResNet-Based Deep Learning. International Journal of Innovative Science and Research Technology, 10 (6): 25jun396. pp. 314-322. ISSN 2456-2165

Abstract

DIABETIC Retinopathy is a serious eye condition. Beforehand Xdiscovery is pivotal for effective treatment. A special computer program can help descry Diabetic Retinopathy. The program uses images of the retina to make a diagnosis. This technology can prop croakers in relating the condition. Early discovery can help vision loss. Timely treatment can ameliorate patient issues. This technology has the implicit to help numerous people. The computer program uses a type of artificial intelligence. It analyzes images of the retina to descry abnormalities. The program provides accurate results. Different computer models were tested for their effectiveness. One model, called ResNet- 18, performed exceptionally well. It achieved high delicacy in detecting Diabetic Retinopathy. Diabetic Retinopathy is a significant health concern. Beforehand discovery and treatment can make a big difference. This technology can help croakers give better care.It can also ameliorate patient issues. Overall, this technology has great eventuality.

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