Automated identification of critical structures in laparoscopic cholecystectomy.

Identification of critical structures can achieve high accuracy, and is a promising step towards computer-assisted intervention in addition to potential applications in analytics and education. High accuracy and surgeon approval is maintained when detecting the structures separately as distinct classes. Future work will focus on guaranteeing safe identification of critical anatomy, including the bile duct, and validating the performance of automated approaches.