Cholec80-CVS: An open dataset with an evaluation of Strasberg's critical view of safety for Artificial Intelligence

Strasberg's criteria to detect a critical view of safety is a widely known strategy to reduce bile duct injuries during laparoscopic cholecystectomy. In spite of its popularity and efficiency, recent studies have shown that human miss-identification errors have led to important bile duct injuries occurrence rates. Developing tools based on artificial intelligence that facilitate the identification of a critical view of safety in cholecystectomy surgeries can potentially minimize the risk of such injuries. With this goal in mind, we present Cholec80-CVS, the first open dataset with video annotations of Strasberg's Critical View of Safety (CVS) criteria. Our dataset contains CVS criteria annotations provided by skilled surgeons for all videos in the well-known Cholec80 open video dataset. We consider that Cholec80-CVS is the first step towards the creation of intelligent systems that can assist humans during laparoscopic cholecystectomy.

斯特拉斯伯格安全视野（Critical View of Safety，CVS）判定标准，是腹腔镜胆囊切除术术中降低胆管损伤的公认防控策略。尽管该标准应用广泛且成效显著，但近期研究表明，人工识别失误仍导致了较高的胆管损伤发生率。开发基于人工智能的工具以辅助胆囊切除术术中安全视野的识别，有望将此类损伤的风险降至最低。基于此目标，我们推出了Cholec80-CVS——首个包含斯特拉斯伯格安全视野（CVS）判定标准视频标注的开源数据集。本数据集针对知名开源视频数据集Cholec80中的全部视频，均由资深外科医生完成了CVS判定标准的标注工作。我们认为，Cholec80-CVS是构建腹腔镜胆囊切除术术中人工辅助智能系统的第一步。