Antonio Alarcón-Paredes

Progressive Transfer Learning in Hybrid CNN-Transformer Architectures for Robust Diabetic Retinopathy Grading

Automated diabetic retinopathy (DR) grading requires both local feature extraction and global spatial reasoning. While Convolutional Neural Networks and Vision Transformers (ViTs) struggle individually with spatial context and data limitations respectively, we propose an optimized hybrid framework (ProGrad-DR) combinin...