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...

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Detalles Bibliográficos
Autores principales: Ariji, Yoshiko, Gotoh, Masakazu, Fukuda, Motoki, Watanabe, Satoshi, Nagao, Toru, Katsumata, Akitoshi, Ariji, Eiichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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