Louisiana State University of Alexandria

Q-Conditioning and Q-Gating: Metadata-Driven Attention Mechanisms for Medical Vision Transformers

Background: Vision Transformers (ViTs) have demonstrated efficacy in visual recognition tasks through global dependency modeling via self-attention. However, standard ViT architectures lack native mechanisms for integrating external clinical metadata (e.g., patient demographics,...