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Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks
Automatic labeling of anatomical structures in brain images plays an important role in neuroimaging analysis. Among all methods, multi-atlas based segmentation methods are widely used, due to their robustness in propagating prior label information. However, non-linear registration is always needed,...
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| I publikationen: | Patch Based Tech Med Imaging (2017) |
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| Huvudupphovsmän: | , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5669261/ https://ncbi.nlm.nih.gov/pubmed/29104969 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-67434-6_2 |
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