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Jul, 2018
多模态图像配准的弱监督卷积神经网络
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration
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Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami...
TL;DR
本文提出了一种基于卷积神经网络的方法,借助高水平结构对应信息(即解剖标记)推测像素变化,从而实现多模态图像对齐。结果表明,该方法具有广泛的适用性,可在训练过程中利用各种不同类型的解剖标记,并能实现实时自动化、无需标记或初始化的三维图像对齐。
Abstract
One of the fundamental challenges in
supervised learning
for
multimodal image registration
is the lack of ground-truth for voxel-level spatial correspondence. This work describes a method to infer voxel-level tra
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