Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder
Based on brain magnetic resonance imaging (MRI), multiple variations ranging from MRI scanners to center-specific parameter settings, imaging protocols, and brain region-of-interest (ROI) definitions pose a big challenge for multi-center Alzheimer's disease characterization and classification....
Main Authors: | , , , , , , , |
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Format: | Journal article |
Language: | English |
Published: |
Elsevier
2022
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