MICCAI Challenge Advances Vision-Based Skill Assessment in Open Surgery
The OSS (Open Suturing Skills) Challenge, which has taken place for two years at the MICCAI conference, evaluates vision-based skill assessment in open surgical procedures. This dataset comprises videos capturing an open suturing training exercise, filmed with a stationary GoPro camera in a dry-lab environment, with instrument trajectories provided alongside the footage. Participants are tasked with categorizing skill levels into four distinct classes and forecasting complete Objective Structured Assessment of Technical Skills (OSATS) scores. The goal of the challenge is to promote automated, data-driven evaluations of skills to enhance the effectiveness of surgical training.
Key facts
- OSS Challenge hosted over two consecutive years at MICCAI conference
- Dataset includes videos of open suturing training task recorded with static GoPro camera
- Instrument trajectories available in addition to primary video modality
- Tasks: classifying skill level into four classes and predicting full OSATS scores
- Aims to advance automated skill assessment in open surgery
- Machine learning methods are popular for minimally invasive surgery but limited in open surgery
- Challenge designed to benchmark vision-based skill assessment
- Dry-lab setting used for data collection
Entities
Institutions
- MICCAI