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Deep Learning in Neuroimaging: Overcoming Challenges With Emerging Approaches
Deep learning (DL) is of great interest in psychiatry due its potential yet largely untapped ability to utilize multidimensional datasets (such as fMRI data) to predict clinical outcomes. Typical DL methods, however, have strong assumptions, such as large datasets and underlying model opaqueness, th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200984/ https://www.ncbi.nlm.nih.gov/pubmed/35722548 http://dx.doi.org/10.3389/fpsyt.2022.912600 |