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A multi-channel uncertainty-aware multi-resolution network for MR to CT synthesis

Synthesising computed tomography (CT) images from magnetic resonance images (MRI) plays an important role in the field of medical image analysis, both for quantification and diagnostic purposes. Convolutional neural networks (CNNs) have achieved state-of-the-art results in image-to-image translation...

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Podrobná bibliografie
Vydáno v:Appl Sci (Basel)
Hlavní autoři: Kläser, Kerstin, Borges, Pedro, Shaw, Richard, Ranzini, Marta, Modat, Marc, Atkinson, David, Thielemans, Kris, Hutton, Brian, Goh, Vicky, Cook, Gary, Cardoso, M Jorge, Ourselin, Sébastien
Médium: Artigo
Jazyk:Inglês
Vydáno: 2021
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7610395/
https://ncbi.nlm.nih.gov/pubmed/33763236
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/app11041667
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