AI RESEARCH
GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT
arXiv CS.CV
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ArXi:2605.22619v1 Announce Type: new Grounding radiology report descriptions to 3D CT volumes is essential for verifiable clinical interpretation, yet remains challenging due to the semantic-spatial gap between free-text narratives and volumetric anatomy. Existing report-assisted and vision-language grounding methods typically rely on phrase-level alignment or dense pixel supervision, resulting in limited lesion-wise correspondence and suboptimal localization accuracy.