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Synthetic high-energy computed tomography image via a Wasserstein generative adversarial network with the convolutional block attention module
BACKGROUND: Computed tomography (CT) is now universally applied into clinical practice with its non-invasive quality and reliability for lesion detection, which highly improves the diagnostic accuracy of patients with systemic diseases. Although low-dose CT reduces X-ray radiation dose and harm to t...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347326/ https://www.ncbi.nlm.nih.gov/pubmed/37456308 http://dx.doi.org/10.21037/qims-22-947 |