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利用图像增强型跨模态融合网络用于放射学报告生成

Yi Guo1, Xiaodi Hou1, Zhi Liu1

  • 1School of Information Science and Technology, Dalian Maritime University, Dalian, China.

Journal of computational biology : a journal of computational molecular cell biology
|August 11, 2025
PubMed
概括

本研究介绍了图像增强型跨模态融合网络 (IFNet),用于自动生成放射学报告 (RRG). IFNet提高了从X射线图像生成医疗报告的准确性和效率,即使是低质量的X射线图像.

关键词:
医疗图像增强 医疗图像增强放射学报告的生成可分离的自我注意力.

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