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Robust Machine Learning-Based Correction on Automatic Segmentation of the Cerebellum and Brainstem
Automated segmentation is a useful method for studying large brain structures such as the cerebellum and brainstem. However, automated segmentation may lead to inaccuracy and/or undesirable boundary. The goal of the present study was to investigate whether SegAdapter, a machine learning-based method...
Autores principales: | Wang, Jun Yi, Ngo, Michael M., Hessl, David, Hagerman, Randi J., Rivera, Susan M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877064/ https://www.ncbi.nlm.nih.gov/pubmed/27213683 http://dx.doi.org/10.1371/journal.pone.0156123 |
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