Learning non-linear patch embeddings with neural networks for label fusion

In brain structural segmentation, multi-atlas strategies are increasingly being used over single-atlas strategies because of their ability to fit a wider anatomical variability. Patch-based label fusion (PBLF) is a type of such multi-atlas approaches that labels each target point as a weighted combi...

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Veröffentlicht in:Med Image Anal
Hauptverfasser: Sanroma, Gerard, Benkarim, Oualid M., Piella, Gemma, Camara, Oscar, Wu, Guorong, Shen, Dinggang, Gispert, Juan D., Molinuevo, José Luis, González Ballester, Miguel A.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2017
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5896774/
https://ncbi.nlm.nih.gov/pubmed/29247877
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2017.11.013
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