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Updated: Jun 25, 2026

Imaging In-Stent Restenosis: An Inexpensive, Reliable, and Rapid Preclinical Model
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Published on: September 14, 2009

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冠状动脉CTA的高分辨率深度学习重建:在体外和体外研究中,对狭窄评估的疗效与其他方法的疗效进行了比较

Takahiro Matsuyama1, Hiroyuki Nagata2, Yoshiyuki Ozawa3

  • 1Department of Radiology, Fujita Health University School of Medicine, Toyoake, Japan.

European radiology
|February 4, 2025
PubMed
概括

高分辨率深度学习重建 (HR-DLR) 在冠状动脉CT血管造影 (CCTA) 上提供优异的冠状动脉狭窄评估. 与其他方法相比,HR-DLR显著降低了图像噪声,并提高了诊断准确度.

关键词:
计算机断层扫描血管图谱.冠状动脉血管 冠状动脉血管深度学习是一种深度学习.多检测器计算机断层扫描.幻影 (成像) 幻影 (成像) 是一个

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