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Intensity non-uniformity correction in MR imaging using residual cycle generative adversarial network
Correcting or reducing the effects of voxel intensity non-uniformity (INU) within a given tissue type is a crucial issue for quantitative magnetic resonance (MR) image analysis in daily clinical practice. Although having no severe impact on visual diagnosis, the INU can highly degrade the performanc...
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| 出版年: | Phys Med Biol |
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| 主要な著者: | , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7934018/ https://ncbi.nlm.nih.gov/pubmed/33245059 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/abb31f |
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