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Background
Deep learning (DL) is a promising methodology for automatic detection of abnormalities in brain MRI.
Purpose
To automatically evaluate the quality of multicenter structural brain MRI images using an ensemble DL model based on deep convolutional neural networks (DCNNs).
Study Type
Retrospective.
Population
The study included 1064 brain images of autism patients and healthy controls...
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