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Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications
The application of deep learning models to evaluate connectome data is gaining interest in epilepsy research. Deep learning may be a useful initial tool to partition connectome data into network subsets for further analysis. Few prior works have used deep learning to examine structural connectomes f...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644981/ https://www.ncbi.nlm.nih.gov/pubmed/38025275 http://dx.doi.org/10.1093/braincomms/fcad294 |