在2019年冠状病毒病患者中早期评估心肌损伤,使用基于非对比胸部计算机断层扫描的两阶段深度学习框架

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Li Wang1, Zhitao Cheng2, Bingyao Liu1

  • 1Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.

Quantitative imaging in medicine and surgery
|January 12, 2026
PubMed
概括

深度学习模型现在可以使用非对比性胸部CT扫描在COVID-19患者中预测心肌损伤 (MI). 这项技术为早期MI查和风险分层提供了一个方便的,一站式解决方案.

关键词:
非对比胸部计算机断层扫描 (非对比胸部CT)冠状病毒疾病2019 (COVID-19) 是一种新型冠状病毒疾病.深度学习 (DL) 是指深度学习.心肌损伤 (MI) 是一种心肌损伤.

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