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Enhancing Multi-Center Generalization of Machine Learning-Based Depression Diagnosis From Resting-State fMRI
Resting-state fMRI has the potential to help doctors detect abnormal behavior in brain activity and to diagnose patients with depression. However, resting-state fMRI has a bias depending on the scanner site, which makes it difficult to diagnose depression at a new site. In this paper, we propose met...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270328/ https://www.ncbi.nlm.nih.gov/pubmed/32547427 http://dx.doi.org/10.3389/fpsyt.2020.00400 |