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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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Bibliographische Detailangaben
Veröffentlicht in:Appl Sci (Basel)
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2021
Schlagworte:
Online Zugang: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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