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Effect of head motion-induced artefacts on the reliability of deep learning-based whole-brain segmentation
Due to their robustness and speed, recently developed deep learning-based methods have the potential to provide a faster and hence more scalable alternative to more conventional neuroimaging analysis pipelines in terms of whole-brain segmentation based on magnetic resonance (MR) images. These method...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803940/ https://www.ncbi.nlm.nih.gov/pubmed/35102199 http://dx.doi.org/10.1038/s41598-022-05583-3 |