A Deep Learning Framework for Design and Analysis of Surgical Bioprosthetic Heart Valves总结
文章提出了一个基于深度学习的框架来预测心脏瓣膜在生物力学上的形变，而生物力学上的形变不能直接使用医学成像捕获，通常需要复杂的计算专业知识和成本来确定。 首先通过CT图像使用NURBS曲面对心脏瓣膜建模，之后利用等几何分析的方法对心脏瓣膜进行应力与应变的分析，并将分析的数据用来训练网络DLFEA 。提出的方法是通用的；它也可以应用到分析心脏瓣膜的其他关键性能特性，以及包括流体结构相互作用在内的更复杂
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