Self-supervised vision transformers for intelligent OCT-based retinal disease classification and severity assessment
Vision Transformers (ViTs) have demonstrated strong performance in medical image analysis due to their ability to model long-range dependencies through self-attention mechanisms. However, training such models typically requires large annotated datasets, which are often difficult to obtain in medical imaging. To address...