A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets.
<h4>Purpose</h4>To facilitate the demonstration of the prognostic value of radiomics, multicenter radiomics studies are needed. Pooling radiomic features of such data in a statistical analysis is however challenging, as they are sensitive to the variability in scanner models, acquisition...
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Autores principales: | Ronrick Da-Ano, François Lucia, Ingrid Masson, Ronan Abgral, Joanne Alfieri, Caroline Rousseau, Augustin Mervoyer, Caroline Reinhold, Olivier Pradier, Ulrike Schick, Dimitris Visvikis, Mathieu Hatt |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/715ee30ce0ed4be28a31be78d0d2b55f |
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