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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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Bibliografske podrobnosti
izdano v:J Digit Imaging
Main Authors: Akkus, Zeynettin, Galimzianova, Alfiia, Hoogi, Assaf, Rubin, Daniel L., Erickson, Bradley J.
Format: Artigo
Jezik:Inglês
Izdano: Springer International Publishing 2017
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC5537095/
https://ncbi.nlm.nih.gov/pubmed/28577131
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-017-9983-4
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