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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...

詳細記述

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書誌詳細
出版年:Invest Radiol
主要な著者: Mackin, Dennis, Ger, Rachel, Gay, Skylar, Dodge, Cristina, Zhang, Lifei, Yang, Jinzhong, Jones, A. Kyle, Court, Laurence
フォーマット: Artigo
言語:Inglês
出版事項: 2019
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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