Automated Diabetic Retinopathy Grading via Deep Neural Networks and Traditional Machine Learning
Dataset Characteristics and Preprocessing The dataset comprises 1000 fundus photographs categorized into four severity levels of diabetic retinopathy. Initial exploratory analysis revealed significant class imbalance across the severity grades. Too mitigate this, targeted augmentation strategies wer...