Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study

Lignende værker

• Automatic Detection of the Pharyngeal Phase in Raw Videos for the Videofluoroscopic Swallowing Study Using Efficient Data Collection and 3D Convolutional Networks †
  af: Lee, Jong Taek, et al.
  Udgivet: (2019)
• Videofluoroscopic and Manometric Evaluation of Pharyngeal and Upper Esophageal Sphincter Function During Swallowing
  af: Yoon, Kyung Jae, et al.
  Udgivet: (2014)
• The Effects of Bolus Volume and Texture on Pharyngeal Pressure Events Using High-resolution Manometry and Its Comparison with Videofluoroscopic Swallowing Study
  af: Ryu, Ju Seok, et al.
  Udgivet: (2016)
• Recommendation of Nasogastric Tube Removal in Acute Stroke Patients Based on Videofluoroscopic Swallow Study
  af: Hwang, Jong-Moon, et al.
  Udgivet: (2017)
• Automatic Pharyngeal Phase Recognition in Untrimmed Videofluoroscopic Swallowing Study Using Transfer Learning with Deep Convolutional Neural Networks
  af: Lee, Ki-Sun, et al.
  Udgivet: (2021)