semantic_scholarComput. Methods Programs Biomed.2026-08-01
Few-shot learning for surgical phase recognition: Performance and generalization in cholecystectomy
Flakë Bajraktari, Robert Asmussen, Giuliano A. Giacoppo, P. Pott
TL;DR: This study provides an initial foundation for applying few-shot learning to surgical phase recognition and demonstrates its feasibility under low-label and transfer settings, indicating that FSL is a promising direction for surgical workflow analysis when annotation resources are limited.
BACKGROUND AND OBJECTIVE The automated recognition of surgical phases in intraoperative videos represents a critical milestone in the digital transformation of surgery. It forms the foundation for surgical assistance systems and enhanced decision support, contributing to increase…