Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies

Radiomics has shown promise in improving models for predicting patient outcomes. However, to maximize the information gain of the radiomics features, especially in larger patient cohorts, the variability in radiomics features owing to differences between scanners and scanning protocols must be accou...

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Detalles Bibliográficos
Autores principales: Ger, Rachel B., Zhou, Shouhao, Chi, Pai-Chun Melinda, Lee, Hannah J., Layman, Rick R., Jones, A. Kyle, Goff, David L., Fuller, Clifton D., Howell, Rebecca M., Li, Heng, Stafford, R. Jason, Court, Laurence E., Mackin, Dennis S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6115360/
https://www.ncbi.nlm.nih.gov/pubmed/30158540
http://dx.doi.org/10.1038/s41598-018-31509-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6115360/
https://www.ncbi.nlm.nih.gov/pubmed/30158540
http://dx.doi.org/10.1038/s41598-018-31509-z

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