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Comparison of Supervised and Unsupervised Approaches for the Generation of Synthetic CT from Cone-Beam CT
Due to major artifacts and uncalibrated Hounsfield units (HU), cone-beam computed tomography (CBCT) cannot be used readily for diagnostics and therapy planning purposes. This study addresses image-to-image translation by convolutional neural networks (CNNs) to convert CBCT to CT-like scans, comparin...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8395013/ https://www.ncbi.nlm.nih.gov/pubmed/34441369 http://dx.doi.org/10.3390/diagnostics11081435 |