Vision-based object detection and tracking from surgical microscope video for augmented cochlear implant surgery
The integrated YOLOv9 and BoT-SORT tracking system maintained stable identity preservation and trajectory consistency, demonstrating strong potential for real-world surgical applications.
Authors
- Razeen Hussain (ORCID: https://orcid.org/0000-0002-7579-5069)
- Raabid Hussain (ORCID: https://orcid.org/0000-0001-7831-3267)
- Fabio Solari (ORCID: https://orcid.org/0000-0002-8111-0409)
- Shayan Alvansazyazdi
Institutions
- Cochlear (France) (FR)
- NES (Slovakia) (SK)
- University of Genoa (IT)
Publication Details
- Journal
- Cochlear Implants International
- Published
- 2026-01-29
- DOI
- https://doi.org/10.1080/14670100.2026.2622144
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00