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双域深度先导稀疏视图CT重建与多尺度聚变注意力

Jia Wu1,2, Jinzhao Lin1, Xiaoming Jiang3

  • 1School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, 400065, Chongqing, China.

Scientific reports
|May 15, 2025
PubMed
概括

我们开发了一个新的深度学习模型,DPMA,用于稀疏视图CT重建. 它通过减少噪音和文物来提高图像质量,确保数据的一致性以获得更好的诊断准确性.

关键词:
深度先验的先验.基于模型的优化多级核聚变引起了人们的注意.基于物理学的一致性.闪光视图CT重建 闪光视图CT重建

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