Upper Esophageal Sphincter Opening Segmentation with Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation

Upper esophageal sphincter is an important anatomical landmark of the swallowing process commonly observed through the kinematic analysis of radiographic examinations that are vulnerable to subjectivity and clinical feasibility issues. Acting as the doorway of esophagus, upper esophageal sphincter a...

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Bibliographic Details
Main Authors:	Coyle, J.L (Author), Donohue, C. (Author), Khalifa, Y. (Author), Sejdic, E. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	accelerometry adult Anatomical landmarks Article auscultation Auscultation cerebrovascular accident cervical auscultations Clinical experiments Clinical feasibility Convolutional neural networks convolutional recurrent neural networks deep learning deep neural network Deep neural networks Deglutition Diagnosis dysphagia Esophageal Sphincter, Upper female GRU High resolution high resolution cervical auscultation human Humans ionizing radiation Ionizing radiation Kinematic Analysis kinematics Kinematics major clinical study male manometry Manometry Neural Networks, Computer Radiographic examination recurrent neural network Recurrent neural networks Screening tool sensitivity and specificity Sensitivity and specificity signal processing supervised learning swallowing Swallowing accelerometry swallowing vibrations upper esophageal sphincter upper esophagus sphincter
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Upper Esophageal Sphincter Opening Segmentation with Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation

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