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使用基于图像的计算流体动力学的卷积神经网络基于细分的大脑动脉系统的模拟:自动化模型创建的初始经验

Mostafa Rezaeitaleshmahalleh1, Zonghan Lyu1, Nan Mu1

  • 1Dept. of Biomedical Engineering, Michigan Technological University, 1400 Townsend Drive Houghton, Michigan 49931, USA.

Journal of mechanics in medicine and biology
|March 25, 2024
PubMed
概括

人工智能 (AI) 细分加速了针对内动脉瘤的患者特定计算流体动力学 (CFD) 模型的创建. 人工智能细分显示了与手工方法的高度一致性,使其成为临床翻译的可行方法.

关键词:
22E4646 这是一个很棒的节目.53C3535 这是一个很好的例子.57S2020 57S20 20S20 57S20 20S20 57S20 20S20 57S20 57S20 57S20 57S20 57S20 57S20 57动脉瘤是一个动脉瘤.计算流体动力学的流体动力学.计算型血液动力学卷积神经网络是一个卷积神经网络.图像细分 图像细分

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Typical Model Studies01:30

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.