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Multi-channel Attention-Fusion Neural Network for Brain Age Estimation: Accuracy, Generality, and Interpretation with 16,705 Healthy MRIs across Lifespan
Brain age estimated by machine learning from T1-weighted magnetic resonance images (T1w MRIs) can reveal how brain disorders alter brain aging and can help in the early detection of such disorders. A fundamental step is to build an accurate age estimator from healthy brain MRIs. We focus on this ste...
Shranjeno v:
| izdano v: | Med Image Anal |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2021
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8316301/ https://ncbi.nlm.nih.gov/pubmed/34038818 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2021.102091 |
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