A Novel Noise Removal and Interpretable Deep Learning Model for Diabetic Retinopathy Detection

Computer Science

• Deep Learning Model 100%
• Interpretability 100%
• Deep Learning Method 66%
• de-noising 66%
• Convolutional Neural Network 33%
• Class Imbalance 33%
• Vision Transformer 33%
• SHapley Additive exPlanation 33%
• Spatial Information 33%
• Gradient-Weighted Class Activation Mapping 33%
• Clinical Application 33%
• Model Prediction 33%
• Visual Impairment 33%

Biochemistry, Genetics and Molecular Biology

• Diabetic Retinopathy 100%