Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

Quantitative analysis of brain MRI is routine for many neurological diseases and conditions and relies on accurate segmentation of structures of interest. Deep learning-based segmentation approaches for brain MRI are gaining interest due to their self-learning and generalization ability over large a...

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Detalles Bibliográficos
Autores principales: Akkus, Zeynettin, Galimzianova, Alfiia, Hoogi, Assaf, Rubin, Daniel L., Erickson, Bradley J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537095/
https://www.ncbi.nlm.nih.gov/pubmed/28577131
http://dx.doi.org/10.1007/s10278-017-9983-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537095/
https://www.ncbi.nlm.nih.gov/pubmed/28577131
http://dx.doi.org/10.1007/s10278-017-9983-4

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