Učitavanje...
Supervised machine learning quality control for magnetic resonance artifacts in neonatal data sets
Quality control (QC) of brain magnetic resonance images (MRI) is an important process requiring a significant amount of manual inspection. Major artifacts, such as severe subject motion, are easy to identify to naïve observers but lack automated identification tools. Clinical trials involving motion...
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| Izdano u: | Hum Brain Mapp |
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| Glavni autori: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
John Wiley & Sons, Inc.
2018
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6588009/ https://ncbi.nlm.nih.gov/pubmed/30467922 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.24449 |
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