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.
Auto- matic pulmonary nodule detection applying deep learning or machine learning algorithms to the lidc-idri database: a systematic review.Diagnostics, 9(1):29
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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.