AnchorDiff: Topology-Aware Masked Diffusion with Confidence-based Rewriting for Radiology Report Generation

In three linesAnchorDiff introduces a masked diffusion framework for radiology report generation, integrating clinical anchors derived from knowledge graphs. Unlike traditional autoregressive models, this bidirectional approach uses topology-aware training based on RadGraph and iterative refinement. SOTA on MIMIC-CXR and MIMIC-RG4 benchmarks.

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