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Jul, 2023
VesselVAE: 递归变分自编码器用于3D血管合成
VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
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Paula Feldman, Miguel Fainstein, Viviana Siless, Claudio Delrieux, Emmanuel Iarussi
TL;DR
我们提出了一种数据驱动的生成框架,用于合成血管的三维几何形状,通过使用 VesselVAE,我们能够生成准确且多样的血管三维模型,这对于医学和手术培训、血液动力学模拟等目的具有重要意义。
Abstract
We present a
data-driven generative framework
for synthesizing
blood vessel
3D geometry. This is a challenging task due to the complexity of vascular systems, which are highly variating in shape, size, and struct
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