Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

Commercial iterative reconstruction techniques help to reduce CT radiation dose but altered image appearance and artifacts limit their adoptability and potential use. Deep learning has been investigated for low-dose CT (LDCT). Here we design a modularized neural network for LDCT and compared it with...

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Detaylı Bibliyografya
Yayımlandı:Nat Mach Intell
Asıl Yazarlar: Shan, Hongming, Padole, Atul, Homayounieh, Fatemeh, Kruger, Uwe, Khera, Ruhani Doda, Nitiwarangkul, Chayanin, Kalra, Mannudeep K., Wang, Ge
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2019
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7687920/
https://ncbi.nlm.nih.gov/pubmed/33244514
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s42256-019-0057-9
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