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Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD databases
Biomarkers for dementia of Alzheimer's type (DAT) are sought to facilitate accurate prediction of the disease onset, ideally predating the onset of cognitive deterioration. T1‐weighted magnetic resonance imaging (MRI) is a commonly used neuroimaging modality for measuring brain structure in viv...
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| Published in: | Hum Brain Mapp |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
John Wiley & Sons, Inc.
2020
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7469784/ https://ncbi.nlm.nih.gov/pubmed/32614505 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.25115 |
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