Machine learning improves automated cortical surface reconstruction in human MRI studies

Machine learning improves automated cortical surface reconstruction in human MRI studies

Analysis of surface models reconstructed from human MR images gives re- searchers the ability to quantify the shape and size of the cerebral cortex. Increasing the reliability of automatic reconstructions would increase the precision and, therefore, power of studies utilizing cortical surface models...

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Bibliographic Details
Main Author: Ellis, David G.
Other Authors: Johnson, Hans J.
Format: Others
Language:English
Published: University of Iowa 2017
Subjects:
cortical reconstruction
machine learning
morphometrics
mri
random forest
surfaces
Biomedical Engineering and Bioengineering
Online Access:https://ir.uiowa.edu/etd/5465
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=6945&context=etd

Internet

https://ir.uiowa.edu/etd/5465
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=6945&context=etd

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