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Matching and Homogenizing Convolution Kernels for Quantitative Studies in Computed Tomography
The sharpness of the kernels used for image reconstruction in computed tomography affects the values of the quantitative image features. We sought to identify the kernels that produce similar feature values to enable more effective comparison of images produced using scanners from different manufact...
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| Publicado no: | Invest Radiol |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6449212/ https://ncbi.nlm.nih.gov/pubmed/30570504 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/RLI.0000000000000540 |
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