BriefGPT.xyz
Apr, 2023
快速有限视角光声成像的模型校正学习原始-对偶模型
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography
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Andreas Hauptmann, Jenni Poimala
TL;DR
该研究提出了嵌入模型修正的学习原始-对偶框架的方法,为光-acoustic成像的快速迭代重建提供了可行的模型,实现了实时的可扩展,具有较快推理时间和优异的重建质量。
Abstract
learned iterative reconstructions
hold great promise to accelerate tomographic imaging with empirical robustness to model perturbations. Nevertheless, an adoption for
photoacoustic tomography
is hindered by the n
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