Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis

OBJECTIVE: To identify CT-acquisition parameters accounting for radiomics variability and to develop a post-acquisition CT-image correction method to reduce variability and improve radiomics classification in both phantom and clinical applications. METHODS: CT-acquisition protocols were prospectivel...

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Detalles Bibliográficos
Autores principales: Ligero, Marta, Jordi-Ollero, Olivia, Bernatowicz, Kinga, Garcia-Ruiz, Alonso, Delgado-Muñoz, Eric, Leiva, David, Mast, Richard, Suarez, Cristina, Sala-Llonch, Roser, Calvo, Nahum, Escobar, Manuel, Navarro-Martin, Arturo, Villacampa, Guillermo, Dienstmann, Rodrigo, Perez-Lopez, Raquel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Computed Tomography
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880962/
https://www.ncbi.nlm.nih.gov/pubmed/32909055
http://dx.doi.org/10.1007/s00330-020-07174-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880962/
https://www.ncbi.nlm.nih.gov/pubmed/32909055
http://dx.doi.org/10.1007/s00330-020-07174-0

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