Automated vision-based assistance tools in bronchoscopy: stenosis severity estimation
We demonstrate how to automate evaluation of subglottic stenosis severity using only bronchoscopy. Our approach can assist with and shorten diagnosis and monitoring procedures, with automated and repeatable estimations and less exploration time, and save radiation exposure to patients as no CT is required. Additionally, we release the first public benchmark for subglottic stenosis severity assessment.
Authors
- Luis Riazuelo (ORCID: https://orcid.org/0000-0002-6722-5541)
- Javier Rodríguez-Puigvert (ORCID: https://orcid.org/0000-0003-1064-4347)
- Clara Tomasini
- Dinora Polanco
- Ana C. Murillo (ORCID: https://orcid.org/0000-0002-7580-9037)
- Marta Benavent Viñuales (ORCID: https://orcid.org/0000-0003-1268-4588)
Institutions
- Universidad de Zaragoza (ES)
- Hospital Universitario Miguel Servet (ES)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1007/s11548-025-03398-x
- Citations
- 1
- Primary Topic
- Tracheal and airway disorders
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- Gobierno de Aragón
- Horizon 2020