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...
Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2021-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0253653 |