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PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation
With the advent of convolutional neural networks (CNN), supervised learning methods are increasingly being used for whole brain segmentation. However, a large, manually annotated training dataset of labeled brain images required to train such supervised methods is frequently difficult to obtain or c...
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| Veröffentlicht in: | Neuroimage |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6688920/ https://ncbi.nlm.nih.gov/pubmed/31129303 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2019.05.033 |
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