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
Publicado en:Journal of Digital Imaging Vol. 30; no. 4; pp. 449 - 460
Autores principales: Akkus, Zeynettin, Galimzianova, Alfiia, Hoogi, Assaf, Rubin, Daniel, Erickson, Bradley
Formato: diagnostic images tables/charts Journal Article
Publicado: Springer Nature Aug2017
Acceso en línea:Ver este registro en EBSCOhost