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Effect of adaptive statistical iterative reconstruction-V (ASiR-V) levels on ultra-low-dose CT radiomics quantification in pulmonary nodules
BACKGROUND: The weightings of iterative reconstruction algorithm can affect CT radiomic quantification. But, the effect of ASiR-V levels on the reproducibility of CT radiomic features between ultra-low-dose computed tomography (ULDCT) and low-dose computed tomography (LDCT) is still unknown. The pur...
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| Publicado en: | Quant Imaging Med Surg |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
AME Publishing Company
2021
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8107324/ https://ncbi.nlm.nih.gov/pubmed/34079706 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/qims-20-932 |
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