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Updated: Jan 9, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

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一个基于机器学习的风险分层,使用CMR体积和菌株参数在患有多变性心肌病的患者中

Hoyoung Kim1, Meen Joo Song1, Jihoon Kim2

  • 1Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

The international journal of cardiovascular imaging
|December 1, 2025
PubMed
概括

整合心脏MRI (CMR) 和左心房 (LA) 菌株的机器学习模型改善了过高心肌病 (HCM) 风险预测. 亚拉菌株,特别是导管功能,成为HCM患者长期结果的关键预测因素.

关键词:
心脏磁共振是一种心脏磁共振.临床结果 临床结果过度缩性心肌病变性是一种心肌病变性.机器学习是机器学习.压力应变是一种压力.

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