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      <title>MeDKCoOp: Dual Knowledge-guided Graph Prompt Learning for Biomedical Vision-Language Models</title>
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      <description>&lt;p&gt;本文提出MeDKCoOp，一种面向生物医学视觉语言模型的双知识引导图提示学习方法。该方法系统整合医学领域知识，从文本与视觉分支提取专门知识并构建图结构表示，通过知识引导的关系转移实现跨模态融合，并动态优化可学习提示，以增强CLIP等模型在医学下游任务中的适应能力。实验表明其在多个生物医学基准上取得优异性能。&lt;/p&gt;
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