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Detection of the Pharyngeal Phase in the Videofluoroscopic Swallowing Study Using Inflated 3D Convolutional Networks

  • Jong Taek Lee
  • Eunhee Park
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11046)

Abstract

Videofluoroscopic swallowing study (VFSS) is a standard diagnostic tool for dysphagia. Previous computer assisted analysis of VFSS required manual preparation to mark several anatomical structures and to select time intervals of interest such as a pharyngeal phase during swallowing. These processes were still costly and challenging for clinicians. In this study, we present a novel approach to detect the pharyngeal phase of swallowing through whole of VFSS video clips using Inflated 3D Convolutional Networks (I3D) without additional manual annotations.

Keywords

Action classification Dysphagia Inflated 3D convolutional networks Videofluoroscopic swallowing study 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Electronics and Telecommunications Research InstituteDaeguSouth Korea
  2. 2.Department of Rehabilitation MedicineKyungpook National University Chilgok HospitalDaeguSouth Korea
  3. 3.Department of Rehabilitation MedicineSchool of Medicine, Kyungpook National UniversityDaeguSouth Korea

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