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...

Descripción completa

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

Internet

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

Ejemplares similares