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Bayesian statistical modeling to predict observer-specific optimal windowing parameters in magnetic resonance imaging
Magnetic resonance (MR) images require a process known as windowing for optimizing the display conditions. However, the conventional windowing process often fails to achieve the preferred display conditions for observers due to various factors. This study proposes a novel framework for predicting th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448025/ https://www.ncbi.nlm.nih.gov/pubmed/37636402 http://dx.doi.org/10.1016/j.heliyon.2023.e19038 |