Generalizing Deep Whole Brain Segmentation for Pediatric and Post- Contrast MRI with Augmented Transfer Learning

Generalizability is an important problem in deep neural networks, especially in the context of the variability of data acquisition in clinical magnetic resonance imaging (MRI). Recently, the Spatially Localized Atlas Network Tiles (SLANT) approach has been shown to effectively segment whole brain no...

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Vydáno v:Proc SPIE Int Soc Opt Eng
Hlavní autoři: Bermudez, Camilo, Blaber, Justin, Remedios, Samuel W., Reynolds, Jess E., Lebel, Catherine, McHugo, Maureen, Heckers, Stephan, Huo, Yuankai, Landman, Bennett A.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2020
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8148607/
https://ncbi.nlm.nih.gov/pubmed/34040280
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