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代联合学习整合时间和几何信息,用于X射线冠状动脉血管学中的血管细分

Yunlong Gao1, Yuanyuan Wang1, Danni Ai1

  • 1Beijing Key Laboratory for Surgical Navigation Robots with Augmented Reality, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.

Medical physics
|February 10, 2026
PubMed
概括

本研究引入了一种代联合学习网络 (ITG-Net),用于在X射线冠状动脉血管学 (XCA) 中增强血管细分. 通过整合时间和几何信息,ITG-Net提高了准确性和完整性,优于现有的方法.

关键词:
中心线-意识到距离的变换.冠状动脉动脉图 (Coronary Angiography) 是一种冠状动脉动脉图.代学习是一种代学习.时间学习时间学习.船舶细分 船舶细分

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