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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)...
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| Publicado no: | Neuroimage |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7780846/ https://ncbi.nlm.nih.gov/pubmed/32841716 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2020.117293 |
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