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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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| Veröffentlicht in: | Appl Sci (Basel) |
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| Hauptverfasser: | , , , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2021
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| 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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