Login / Signup

Deep Learning Analysis to Automatically Detect the Presence of Penetration or Aspiration in Videofluoroscopic Swallowing Study.

Jeoung Kun KimYoo Jin ChooGyu Sang ChoiHyunkwang ShinMin Cheol ChangDonghwi Park
Published in: Journal of Korean medical science (2022)
This study demonstrated that deep learning algorithms, particularly the CNN, could be applied for detecting the presence of penetration and aspiration in VFSS of patients with dysphagia.
Keyphrases
  • deep learning
  • machine learning
  • artificial intelligence
  • ultrasound guided