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Noise-Based Image Harmonization Significantly Increases Repeatability and Reproducibility of Radiomics Features in PET Images: A Phantom Study
For multicenter clinical studies, characterizing the robustness of image-derived radiomics features is essential. Features calculated on PET images have been shown to be very sensitive to image noise. The purpose of this work was to investigate the efficacy of a relatively simple harmonization strat...
Autores principales: | Keller, Harald, Shek, Tina, Driscoll, Brandon, Xu, Yiwen, Nghiem, Brian, Nehmeh, Sadek, Grkovski, Milan, Schmidtlein, Charles Ross, Budzevich, Mikalai, Balagurunathan, Yoganand, Sunderland, John J., Beichel, Reinhard R., Uribe, Carlos, Lee, Ting-Yim, Li, Fiona, Jaffray, David A., Yeung, Ivan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025788/ https://www.ncbi.nlm.nih.gov/pubmed/35448725 http://dx.doi.org/10.3390/tomography8020091 |
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