Published September 24, 2025 | Version v1
Model Open

Automated dysphagia characterization in head and neck cancer patients using videofluoroscopic swallowing studies

  • 1. Université Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, F-35000, Rennes, France
  • 2. Departamento de Bioingeniería, Universidad Carlos III de Madrid, Madrid, Spain
  • 3. Service d'ORL et Chirurgie Maxillo-Faciale, CHU Pontchaillou, Université Rennes, 35033, Rennes, France
  • 4. Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain

Description

Pre-trained nnU-Net weights for VFSS analysis, based on the paper "Automated dysphagia characterization in head and neck cancer patients using videofluoroscopic swallowing studies", published in Computers in Biology and Medicine.

The two best-performing models are provided are in the zip file.

Files

models_VFSS.zip

Files (6.1 GB)

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md5:4eb596ba49fdecf283bf839681369eb0
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Additional details

Related works

Is supplement to
Publication: 10.1016/j.compbiomed.2025.109759 (DOI)

Dates

Available
2025-03