Application of a convolutional neural network to the quality control of MRI defacing
<p>Large-scale neuroimaging datasets present unique challenges for automated processing pipelines. Motivated by a large clinical trials dataset with over 235,000 MRI scans, we consider the challenge of defacing — anonymisation to remove identifying facial features. The defacing process must un...
Main Authors: | , , , , , , , , |
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Format: | Journal article |
Sprog: | English |
Udgivet: |
Elsevier
2022
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