Deep learning-based pediatric swallowing video segmentation from sparse multi-annotator endoscopic data: comparing supervised U-Net models and in-context segmentation
- DOI
- 10.1007/s11517-026-03703-z
- Published
- 2026-11-04
- Container
- Medical & Biological Engineering & Computing
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11517-026-03703-z,
title = {Deep learning-based pediatric swallowing video segmentation from sparse multi-annotator endoscopic data: comparing supervised U-Net models and in-context segmentation},
author = {Soolmaz Abbasi and Hisham Al-Kassem and Zahra Firouzi and Mohammad AlKadi and Mini Kurian and Amanda Adsett and Christina Rappazzo and Hamdy El-Hakim and Jacob Jaremko and Abhilash Hareendranathan},
year = {2026},
journal = {Medical \& Biological Engineering \& Computing},
doi = {10.1007/s11517-026-03703-z},
url = {https://doi.org/10.1007/s11517-026-03703-z}
}RIS
TY - JOUR TI - Deep learning-based pediatric swallowing video segmentation from sparse multi-annotator endoscopic data: comparing supervised U-Net models and in-context segmentation AU - Soolmaz Abbasi AU - Hisham Al-Kassem AU - Zahra Firouzi AU - Mohammad AlKadi AU - Mini Kurian AU - Amanda Adsett AU - Christina Rappazzo AU - Hamdy El-Hakim AU - Jacob Jaremko AU - Abhilash Hareendranathan PY - 2026 JO - Medical & Biological Engineering & Computing DO - 10.1007/s11517-026-03703-z UR - https://doi.org/10.1007/s11517-026-03703-z ER -
APA
Abbasi, S., Al-Kassem, H., Firouzi, Z., AlKadi, M., Kurian, M., Adsett, A., Rappazzo, C., El-Hakim, H., Jaremko, J., & Hareendranathan, A. (2026). Deep learning-based pediatric swallowing video segmentation from sparse multi-annotator endoscopic data: comparing supervised U-Net models and in-context segmentation. Medical & Biological Engineering & Computing. https://doi.org/10.1007/s11517-026-03703-z
Source records
- crossref · retrieved 2026-11-06T05:30:42.617Z