A two-stage deep learning framework with progressive feature fusion and attention mechanisms for multi-class retinal disease classification
Accurate and efficient automated analysis of Optical Coherence Tomography (OCT) images is critical for large-scale retinal disease screening. However, current deep learning models often fail to simultaneously achieve high classification accuracy, practical computational feasibility, and interpretability. To deal with t...