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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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| Yayımlandı: | Med Image Anal |
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| Asıl Yazarlar: | , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2017
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| Konular: | |
| Online Erişim: | 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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