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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| Auteurs principaux: | , , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
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Public Library of Science (PLoS)
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/715ee30ce0ed4be28a31be78d0d2b55f |
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