Semantic-Topological Graph Reasoning for Language-Guided Pulmonary Screening

A new Semantic-Topological Graph Reasoning (STGR) framework has been developed to improve language-guided pulmonary screening in medical imaging by addressing semantic ambiguity and anatomical overlap issues. This innovation integrates large language models with vision foundation models through a novel Text-to-Vision Intent Distillation module, achieving state-of-the-art performance on key datasets while minimizing overfitting with selective fine-tuning.

Read the full article at arXiv cs.CV (Vision)

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