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A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing
Although videofluorography (VFG) is an effective tool for evaluating swallowing functions, its accurate evaluation requires considerable time and effort. This study aimed to create a deep learning model for automated bolus segmentation on VFG images of patients with healthy swallowing and dysphagia...
| 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/PMC9637105/ https://www.ncbi.nlm.nih.gov/pubmed/36335226 http://dx.doi.org/10.1038/s41598-022-21530-8 |