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RadFusion: Towards Threshold-Controllable Radiology Report Generation

arXiv cs.AI · 2026-08-12 Cached

RadFusion is a framework that adds threshold controllability to radiology report generation by fusing a multi-label classifier with a VQA-based generator and an LLM rewrite step, enabling sensitivity-specificity trade-offs and ROC-based validation. Experiments on MIMIC-CXR show improved diagnostic accuracy and clinically adaptable report behavior.

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