Crowdsourced MRI quality metrics and expert quality annotations for training of humans and machines

The neuroimaging community is steering towards increasingly large sample sizes, which are highly heterogeneous because they can only be acquired by multi-site consortia. The visual assessment of every imaging scan is a necessary quality control step, yet arduous and time-consuming. A sizeable body o...

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Detalles Bibliográficos
Autores principales: Esteban, Oscar, Blair, Ross W., Nielson, Dylan M., Varada, Jan C., Marrett, Sean, Thomas, Adam G., Poldrack, Russell A., Gorgolewski, Krzysztof J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472378/
https://www.ncbi.nlm.nih.gov/pubmed/30975998
http://dx.doi.org/10.1038/s41597-019-0035-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472378/
https://www.ncbi.nlm.nih.gov/pubmed/30975998
http://dx.doi.org/10.1038/s41597-019-0035-4

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