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Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging
As very large studies of complex neuroimaging phenotypes become more common, human quality assessment of MRI-derived data remains one of the last major bottlenecks. Few attempts have so far been made to address this issue with machine learning. In this work, we optimize predictive models of quality...
שמור ב:
הוצא לאור ב: | Mach Learn Med Imaging |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
פורמט: | Artigo |
שפה: | Inglês |
יצא לאור: |
2017
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נושאים: | |
גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6049825/ https://ncbi.nlm.nih.gov/pubmed/30035274 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-67389-9_43 |
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