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CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network
OBJECTIVE: The aim of our study was to develop and validate a convolutional neural network (CNN) architecture to convert CT images reconstructed with one kernel to images with different reconstruction kernels without using a sinogram. MATERIALS AND METHODS: This retrospective study was approved by t...
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| 出版年: | Korean J Radiol |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The Korean Society of Radiology
2019
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6342751/ https://ncbi.nlm.nih.gov/pubmed/30672169 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3348/kjr.2018.0249 |
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