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Updated: Sep 18, 2025

Noninvasive Assessment of Cardiac Abnormalities in Experimental Autoimmune Myocarditis by Magnetic Resonance Microscopy Imaging in the Mouse
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一个创新的人工智能对非缺血性心肌病的分类模型,利用来自磁共振成像的心脏生物力学

Liqiang Fu1,2,3,4,5, Peifang Zhang6, Liuquan Cheng7

  • 1Chinese PLA Medical School, Beijing 100853, China.

Bioengineering (Basel, Switzerland)
|June 26, 2025
PubMed
概括

通过新的AI模型,诊断非缺血性心肌病变 (NICMs) 得到了改进. 这种深度学习框架将心脏成像与压力数据集成在一起,以检测微妙的生物力学问题,提高NICM分类的准确性.

关键词:
生物机械分析分析心脏磁力共振成像 (MRI)卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.生成性的对抗性网络.室内压力梯度的室内压力梯度.非缺血性心肌病变异性

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In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography08:13

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