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Updated: May 22, 2025

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基于深度学习的对比度提升在低对比度介质中-TAVR前CT成像

Jeaneun Park1, Jung Im Jung1, Kyunghwa Han2

  • 1Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
|March 12, 2025
PubMed
概括

基于深度学习的对比度增强 (DL-CB) 增强了低对比度介质CT扫描,用于通过导管的大动脉置换 (TAVR) 评估. 这种技术提高了图像质量,并确保了功能障碍患者的可靠测量.

关键词:
大动脉门狭窄症计算机断层扫描 血管图谱对比媒介是对比媒介.深度学习是一种深度学习.通过导管更换大动脉门.

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