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Updated: Jun 11, 2025

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
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基于深度学习的疾病分类在接受电影心脏MRI的患者中

Athira J Jacob1, Teodora Chitiboi1, U Joseph Schoepf2

  • 1Digital Technology and Innovation, Siemens Healthineers, Princeton, New Jersey, USA.

Journal of magnetic resonance imaging : JMRI
|October 1, 2024
PubMed
概括

这项研究开发了一个使用MRI数据来分类心血管疾病的深度学习算法. 该算法在区分正常受试者与患有扩张性心肌病,多变性心肌病和缺血性心脏病的患者方面取得了高准确性.

关键词:
深度学习是一种深度学习.疾病分类疾病分类.模型的解释性可解释性心肌肌肉菌株的压力

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