Airway image analysis systems: a review of datasets, evaluation methodologies, and deep learning approaches
- DOI
- 10.3389/fdgth.2026.1962988
- Published
- 2026-10-22
- Container
- Frontiers in Digital Health
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fdgth.2026.1962988,
title = {Airway image analysis systems: a review of datasets, evaluation methodologies, and deep learning approaches},
author = {Evropi Toulkeridou and Panagiota Kosmidou and Zinonas Antoniou and Marios S. Pattichis and Andreas S. Panayides},
year = {2026},
journal = {Frontiers in Digital Health},
doi = {10.3389/fdgth.2026.1962988},
url = {https://doi.org/10.3389/fdgth.2026.1962988}
}RIS
TY - JOUR TI - Airway image analysis systems: a review of datasets, evaluation methodologies, and deep learning approaches AU - Evropi Toulkeridou AU - Panagiota Kosmidou AU - Zinonas Antoniou AU - Marios S. Pattichis AU - Andreas S. Panayides PY - 2026 JO - Frontiers in Digital Health DO - 10.3389/fdgth.2026.1962988 UR - https://doi.org/10.3389/fdgth.2026.1962988 ER -
APA
Toulkeridou, E., Kosmidou, P., Antoniou, Z., Pattichis, M. S., & Panayides, A. S. (2026). Airway image analysis systems: a review of datasets, evaluation methodologies, and deep learning approaches. Frontiers in Digital Health. https://doi.org/10.3389/fdgth.2026.1962988
Source records
- crossref · retrieved 2026-11-08T16:07:59.226Z