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...

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Detalles Bibliográficos
Autores principales: Wang, Jun Yi, Ngo, Michael M., Hessl, David, Hagerman, Randi J., Rivera, Susan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
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

Internet

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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