STGR framework integrates LLaMA-3-V and MedSAM via text-to-vision distillation and graph reasoning, achieving 81.5% DSC on LIDC-IDRI with under 1% parameter updates and high cross-fold stability.
A lung nodule segmentation model based on the transformer with multiple thresholds and coordinate attention.Scientific Reports, 14(1):31743
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Semantic-Topological Graph Reasoning for Language-Guided Pulmonary Screening
STGR framework integrates LLaMA-3-V and MedSAM via text-to-vision distillation and graph reasoning, achieving 81.5% DSC on LIDC-IDRI with under 1% parameter updates and high cross-fold stability.