LatLRR-FCNs: Latent Low-Rank Representation With Fully Convolutional Networks for Medical Image Fusion

LatLRR-FCNs: Latent Low-Rank Representation With Fully Convolutional Networks for Medical Image Fusion

Medical image fusion, which aims to derive complementary information from multi-modality medical images, plays an important role in many clinical applications, such as medical diagnostics and treatment. We propose the LatLRR-FCNs, which is a hybrid medical image fusion framework consisting of the la...

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Bibliographic Details
Main Authors: Zhengyuan Xu, Wentao Xiang, Songsheng Zhu, Rui Zeng, Cesar Marquez-Chin, Zhen Chen, Xianqing Chen, Bin Liu, Jianqing Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Neuroscience
Subjects:
multi-modality medical image
latent low-rank representation
fully convolutional networks
medical image fusion
Laplacian pyramid
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2020.615435/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2020.615435/full

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