Ensemble Diabetic Retinopathy Detection in 2-D Color Fundus Retina Scan Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.21203/rs.3.rs-2559892/v1
· OA: W4319986479
Diabetic Retinopathy (DR) is a burgeoning malady in Asian territories. DR causes 5% to 7% of the total blindness throughout the region. The main aim of this research is to determine whether a patient is suffering from DR or not by the dint of 2-D color fundus retina scans. In this paper authors have proposed a GUI-based technique an Ensemble Diabetic Retinopathy Detection (EDRD). This method helps in detecting 2D color fundus scan with an efficient approach for finding DR-affected persons within a few seconds using ensemble techniques of CNN and RLU. The Visual Geometry Group (VGG-19) model and Adaptive Moment Estimation optimizer is used for training and reducing error for the developed technique. Maximum accuracy of 92% was obtained for 80% training set with 0.001 learning rate and 25 batch size. The proposed research contribution definitively detects whether the given OCT scan with an efficient approach for finding DR affected persons within few seconds.
