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Updated: Jan 18, 2026

Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging
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可解释的机器学习用于估计对比材料的到达时间在计算机断层扫描肺血管扫描中

Xiang-Pan Meng1, Haomei Yu1, Changjie Pan2

  • 1Department of Radiology, the Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University.

Journal of thoracic imaging
|September 8, 2025
PubMed
概括

一个可解释的机器学习模型使用CTPA特征准确预测肺动脉对比到达时间 (TARR). 这种方法有助于个性化CT肺血管扫描扫描,以获得更好的患者结果.

关键词:
血管造影 - 血管造影可以解释的模型模型.机器学习是机器学习.肺栓塞 肺栓塞是一种肺栓塞.断层扫描 (tomography) 是一个非常重要的技术.电脑计算的X射线成像

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