A Wrapped Approach Using Unlabeled Data for Diabetic Retinopathy Diagnosis

Large-scale datasets, which have sufficient and identical quantities of data in each class, are the main factor in the success of deep-learning-based classification models for vision tasks. A shortage of sufficient data and interclass imbalanced data distribution, which often arise in the medical do... View More