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Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain
The application of data-driven deep learning to identify sex differences in developing brain structures of pre-adolescents has heretofore not been accomplished. Here, the approach identifies sex differences by analyzing the minimally processed MRIs of the first 8144 participants (age 9 and 10 years)...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780846/ https://www.ncbi.nlm.nih.gov/pubmed/32841716 http://dx.doi.org/10.1016/j.neuroimage.2020.117293 |