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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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| 出版年: | Invest Radiol |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | 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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