Automatic Multiple Articulator Segmentation in Dynamic Speech MRI Using a Protocol Adaptive Stacked Transfer Learning U-NET Model

Dynamic magnetic resonance imaging has emerged as a powerful modality for investigating upper-airway function during speech production. Analyzing the changes in the vocal tract airspace, including the position of soft-tissue articulators (e.g., the tongue and velum), enhances our understanding of sp...

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Detalles Bibliográficos
Autores principales: Erattakulangara, Subin, Kelat, Karthika, Meyer, David, Priya, Sarv, Lingala, Sajan Goud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215398/
https://www.ncbi.nlm.nih.gov/pubmed/37237693
http://dx.doi.org/10.3390/bioengineering10050623

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215398/
https://www.ncbi.nlm.nih.gov/pubmed/37237693
http://dx.doi.org/10.3390/bioengineering10050623

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