A 3D deep convolutional neural network approach for the automated measurement of cerebellum tracer uptake in FDG PET-CT scans

PURPOSE: The purpose of this work was to assess the potential of deep convolutional neural networks in automated measurement of cerebellum tracer uptake in FDG PET scans. METHODS: Three different 3D convolutional neural network architectures (U-Net, V-Net, and modified U-Net) were implemented and co...

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Detaylı Bibliyografya
Yayımlandı:Med Phys
Asıl Yazarlar: Xiong, Xiaofan, Linhardt, Timothy J., Liu, Weiren, Smith, Brian J., Sun, Wenqing, Bauer, Christian, Sunderland, John J., Graham, Michael M., Buatti, John M., Beichel, Reinhard R.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2020
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7067677/
https://ncbi.nlm.nih.gov/pubmed/31855287
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13970
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