A Novel Study on Automated Diabetic Retinopathy: Detection and Grading

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A Novel Study on Automated Diabetic Retinopathy: Detection and Grading

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Shintu Mariam Skariah*1,Joma George2Deep LearningB. Using Customized CNN and Decision Tree ClassificationC. Using Convolutional Neural Network and Standard Deep Neural NetworkD. Using Fully Convolutional Neural NetworkE. Using SVM, Decision Tree (in order to compare SVM)F. Using Artificial Neural NetworkG. Detection of DR based on Transfer LearningH. Using Particle Swarm Optimization and Neural NetworkI. Using Ensemble learning approachJ. Using weighted path for convolutional neural networkK. Using soft margin SVMM. Symptom Analysis of Diabetic Retinopathy by Micro aneurysm Detection Using NPRTOOL

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