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An efficient magnetic resonance image data quality screening dashboard

PURPOSE: Complex data processing and curation for artificial intelligence applications rely on high‐quality data sets for training and analysis. Manually reviewing images and their associated annotations is a very laborious task and existing quality control tools for data review are generally limite...

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Detalles Bibliográficos
Autores principales:	Gates, Evan D. H., Celaya, Adrian, Suki, Dima, Schellingerhout, Dawid, Fuentes, David
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2022
Materias:	Technical Notes
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992954/ https://www.ncbi.nlm.nih.gov/pubmed/35148034 http://dx.doi.org/10.1002/acm2.13557

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