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Publication Type : Conference Paper
Publisher : IEEE
Source : 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, IEEE, 2022, pp. 1-7, doi: 10.1109/ICCCNT54827.2022.9984622.
Url : https://ieeexplore.ieee.org/document/9984622
Campus : Bengaluru
School : School of Computing
Verified : Yes
Year : 2022
Abstract : Neuralgia & anatomical anomalies to visual capillaries indicates Diabetic Retinopathy (DR). Although the role of the pathophysiology process causing retinopathy is still not fully known, it appears that exploratory diabetes in humans as well as persistent blood-glucose buildup with non-diabetic humans both recapitulate many aspects of the process. The most prevalent reason of emerging instances of blindness in persons between the ages of 20 and 74 is DR. Almost all Type-I diabetes victims & more than 60percent of Type-II diabetic victims developed retinopathy throughout the initial 2 decades of the illness.3.6 percent of Type-I diabetes victims with a adolescent start & 1.6 percent of Type-II diabetes victims with an elderly start got totally visionless in the Wisconsin Epidemiologic Research of DR. DR has been responsible for 86 percent of the vision-loss in the adolescent population. A third of total vision-loss incidences in the elderly category have been brought on by diabetic retinopathy, while various eye disorders was prevalent. Five DR categories are available: 0, 1, 2, 3, & 4. The source data in this study comprise patient's fundus eyeball pictures. This design had DR recognition accuracy of 96.11percent. The competing designs, EfficientNetB5 & ResNet50, are being evaluated in the conclusion.
Cite this Research Publication : Bindhumol M., Tripty Singh, Prakash Duraisamy, "Diabetic Retinopathy Classification using Transfer Learning Techniques," 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, IEEE, 2022, pp. 1-7, doi: 10.1109/ICCCNT54827.2022.9984622.