Measurement of laryngeal elevation by automated segmentation using Mask R-CNN

The methods of measuring laryngeal elevation during swallowing are time-consuming. We aimed to propose a quick-to-use neural network (NN) model for measuring laryngeal elevation quantitatively using anatomical structures auto-segmented by Mask region-based convolutional NN (R-CNN) in videofluoroscop...

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Detalles Bibliográficos
Autores principales: Lee, Hyun Haeng, Kwon, Bo Mi, Yang, Cheng-Kun, Yeh, Chao-Yuan, Lee, Jongmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
6000
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8702111/
https://www.ncbi.nlm.nih.gov/pubmed/34941054
http://dx.doi.org/10.1097/MD.0000000000028112

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8702111/
https://www.ncbi.nlm.nih.gov/pubmed/34941054
http://dx.doi.org/10.1097/MD.0000000000028112

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