A comprehensive survey on deep learning techniques in CT image quality improvement.
High-quality computed tomography (CT) images are key to clinical diagnosis. However, the current quality of an image is limited by reconstruction algorithms and other factors and still needs to be improved. When using CT, a large quantity of imaging data, including intermediate data and final images...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 60; no. 10; pp. 2757 - 2771 |
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| Autores principales: | , , , , , |
| Formato: | review Journal Article |
| Publicado: |
Springer Nature
Oct2022
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| Acceso en línea: | Ver este registro en EBSCOhost |