Deep learning enabled optimized feature selection and classification for grading diabetic retinopathy severity in the fundus image
A. Mary Dayana, W. R. Sam Emmanuel
Topics & Concepts
Artificial intelligenceComputer scienceFeature selectionPattern recognition (psychology)Deep learningFundus (uterus)Convolutional neural networkDiabetic retinopathyOptical coherence tomographyComputer visionMedicineOphthalmologyDiabetes mellitusEndocrinologyRetinal Imaging and AnalysisRetinal Diseases and TreatmentsMedical Image Segmentation Techniques