A dual-instrument Kalman-based tracker to enhance robustness of microsurgical tools tracking
These results confirm the potential of the proposed approach in enhancing precision and reliability in microsurgical instrument tracking. Thus, the integration of attention mechanisms and a tailored data association module could be a solid base for automatizing the motion of optical microscopes.
Authors
- Emanuele Ruffaldi (ORCID: https://orcid.org/0000-0001-6084-6938)
- Mattia Magro (ORCID: https://orcid.org/0000-0003-4385-9416)
- Elena F. Gambaro
- Elena De Momi (ORCID: https://orcid.org/0000-0002-8819-2734)
- Nicola Covallero
Institutions
- Wilmington University (US)
- Politecnico di Milano (IT)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2024-08-12
- DOI
- https://doi.org/10.1007/s11548-024-03246-4
- Citations
- 1
- Primary Topic
- Augmented Reality Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.25
Funders
- Politecnico di Milano