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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610395/
https://www.ncbi.nlm.nih.gov/pubmed/33763236
http://dx.doi.org/10.3390/app11041667

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610395/
https://www.ncbi.nlm.nih.gov/pubmed/33763236
http://dx.doi.org/10.3390/app11041667

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