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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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| Publicado no: | Sci Data |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6472378/ https://ncbi.nlm.nih.gov/pubmed/30975998 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41597-019-0035-4 |
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