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Convolutional neural network enhancement of fast-scan low-dose cone-beam CT images for head and neck radiotherapy
PURPOSE: To improve image quality and CT number accuracy of fast-scan low-dose cone-beam computed tomography (CBCT) through a deep-learning convolutional neural network (CNN) methodology for head-and-neck (HN) radiotherapy. METHODS AND MATERIALS: Fifty-five paired CBCT and CT images from HN patients...
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| Veröffentlicht in: | Phys Med Biol |
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| Hauptverfasser: | , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8011532/ https://ncbi.nlm.nih.gov/pubmed/31842014 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/ab6240 |
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