NeuroSymb-MRG uses differentiable logic chains and uncertainty-driven sampling to produce more factually consistent radiology reports than standard encoder-decoder or retrieval methods.
Semi- supervised medical report generation via graph-guided hybrid feature consistency.IEEE Transactions on Multime- dia, 26:904–915, 2023
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NeuroSymb-MRG: Differentiable Abductive Reasoning with Active Uncertainty Minimization for Radiology Report Generation
NeuroSymb-MRG uses differentiable logic chains and uncertainty-driven sampling to produce more factually consistent radiology reports than standard encoder-decoder or retrieval methods.