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Updated: May 2, 2026

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在使用深度生成学习的无对比心脏影像MRI中预测急性心肌梗塞的晚期加多增强

Haikun Qi1,2, Pengfang Qian1, Langlang Tang3

  • 1School of Biomedical Engineering, ShanghaiTech University, China (H.Q., P.Q.).

Circulation. Cardiovascular imaging
|September 10, 2024
PubMed
概括

一种新的深度学习方法,即cine-generated enhancement (CGE),可以创建无对比心脏MRI图像以评估心肌梗塞. 这种技术提供了卓越的图像质量和准确的痕检测,简化扫描和降低风险.

关键词:
深度学习是一种深度学习.磁共振光谱学 磁共振光谱学心肌梗塞的心脏病发作

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