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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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