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A Novel Fusion Framework Based on Adaptive PCNN in NSCT Domain for Whole-Body PET and CT Images

The PET and CT fusion images, combining the anatomical and functional information, have important clinical meaning. This paper proposes a novel fusion framework based on adaptive pulse-coupled neural networks (PCNNs) in nonsubsampled contourlet transform (NSCT) domain for fusing whole-body PET and C...

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Vydáno v:Comput Math Methods Med
Hlavní autoři: Song, Zhiying, Jiang, Huiyan, Li, Siqi
Médium: Artigo
Jazyk:Inglês
Vydáno: Hindawi 2017
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5394910/
https://ncbi.nlm.nih.gov/pubmed/28473868
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/8407019
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