Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Technical Note: Proof of concept for radiomics‐based quality assurance for computed tomography
por: Branco, Luciano R. F., et al.
Publicado: (2019) -
Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients
por: Ger, Rachel B., et al.
Publicado: (2019) -
Effects of alterations in positron emission tomography imaging parameters on radiomics features
por: Ger, Rachel B., et al.
Publicado: (2019) -
Effect of tube current on computed tomography radiomic features
por: Mackin, Dennis, et al.
Publicado: (2018) -
Radiomics feature robustness as measured using an MRI phantom
por: Lee, Joonsang, et al.
Publicado: (2021)