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Image synthesis of monoenergetic CT image in dual‐energy CT using kilovoltage CT with deep convolutional generative adversarial networks
PURPOSE: To synthesize a dual‐energy computed tomography (DECT) image from an equivalent kilovoltage computed tomography (kV‐CT) image using a deep convolutional adversarial network. METHODS: A total of 18,084 images of 28 patients are categorized into training and test datasets. Monoenergetic CT im...
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| Veröffentlicht in: | J Appl Clin Med Phys |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
John Wiley and Sons Inc.
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8035569/ https://ncbi.nlm.nih.gov/pubmed/33599386 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/acm2.13190 |
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