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Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging data
OBJECTIVE: This work investigates if deep learning (DL) models can classify originating site locations directly from magnetic resonance imaging (MRI) scans with and without correction for intensity differences. MATERIAL AND METHODS: A large database of 1880 T1-weighted MRI scans collected across 41...
| 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/PMC10654841/ https://www.ncbi.nlm.nih.gov/pubmed/37669158 http://dx.doi.org/10.1093/jamia/ocad171 |