Learning to Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA
Learning to Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA explores A framework for medical visual question answering that learns to suppress spurious correlations and focus on causal diagnostic evidence, improving generalization.. Commercial viability score: 7/10 in Medical AI.
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