Deep transfer learning of structural magnetic resonance imaging fused with blood parameters improves brain age prediction

Machine learning has been applied to neuroimaging data for estimating brain age and capturing early cognitive impairment in neurodegenerative diseases. Blood parameters like neurofilament light chain are associated with aging. In order to improve brain age predictive accuracy, we constructed a model...

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Detalles Bibliográficos
Autores principales: Ren, Bingyu, Wu, Yingtong, Huang, Liumei, Zhang, Zhiguo, Huang, Bingsheng, Zhang, Huajie, Ma, Jinting, Li, Bing, Liu, Xukun, Wu, Guangyao, Zhang, Jian, Shen, Liming, Liu, Qiong, Ni, Jiazuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886664/
https://www.ncbi.nlm.nih.gov/pubmed/34913545
http://dx.doi.org/10.1002/hbm.25748

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886664/
https://www.ncbi.nlm.nih.gov/pubmed/34913545
http://dx.doi.org/10.1002/hbm.25748

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