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Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech
BACKGROUND AND OBJECTIVE: Magnetic resonance (MR) imaging is increasingly used in studies of speech as it enables non-invasive visualisation of the vocal tract and articulators, thus providing information about their shape, size, motion and position. Extraction of this information for quantitative a...
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| Yayımlandı: | Comput Methods Programs Biomed |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier Scientific Publishers
2021
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7732702/ https://ncbi.nlm.nih.gov/pubmed/33197740 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cmpb.2020.105814 |
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