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Automated Image Quality Evaluation of Structural Brain MRI using an Ensemble of Deep Learning Networks
BACKGROUND: Deep learning is a promising methodology for automatic detection of abnormalities in brain MRI. PURPOSE: To automatically evaluate the quality of multi-center structural brain MRI images using an ensemble deep learning (DL) model based on deep convolutional neural networks (DCNNs). STUDY...
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| Vydáno v: | J Magn Reson Imaging |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6711839/ https://ncbi.nlm.nih.gov/pubmed/30811739 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/jmri.26693 |
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