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Published in EMBC, 2025
提出类别原型驱动的扩散模型(CPDM),通过构造类别原型库和类别与类别的隐空间特征之间的交叉注意力机制,解决医学影像生成中的类别不平衡问题,同时提升图像质量和多样性
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Published in MICCAI, 2025
提出基础视觉提示策略,基于CoT方法逐步提示MLLM准确描述医学图像,挖掘医学图像复杂视觉属性信息。同时提出针对扩散模型的跨模态原型注入机制,通过构造基于类别的多模态原型库,辅助扩散模型利用视觉属性提示重建图像数据分布
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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