Weakly supervised pre-training for surgical step recognition using unannotated and heterogeneously labeled videos
Weakly supervised pre-training offers a practical strategy to improve surgical step recognition when annotated data is scarce. This approach can support scalable feedback and assessment in surgical training workflows where comprehensive annotations are infeasible.
Authors
- Kiran Bhattacharyya (ORCID: https://orcid.org/0000-0002-1776-4782)
- Sreeram Kamabattula
- Kai Chen (ORCID: https://orcid.org/0000-0003-2587-6028)
Institutions
- Intuitive Surgical (Switzerland) (CH)
- Intuit (United States) (US)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1007/s11548-025-03555-2
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Intuitive Surgical