论文标题
手术工作流识别：从挑战分析到建筑研究
Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study
论文作者
论文摘要
算法手术工作流识别是一个正在进行的研究领域，可以分为腹腔镜（内部）和手术室（外部）分析。到目前为止，已经提出了许多不同的内部分析作品，并结合了框架级别和附加的时间模型，以解决不同工作流阶段之间的时间歧义。对于外部识别任务，剪辑级方法是针对或场景中存在的当地歧义的研究人员的重点。在这项工作中，我们评估了不同模型体系结构的组合，以进行手术工作流识别的任务，以对内部和外部分析的方法进行公平的比较。我们表明，设计用于内部分析的方法可以通过与不同体系结构的可比性能提高到外部任务。
Algorithmic surgical workflow recognition is an ongoing research field and can be divided into laparoscopic (Internal) and operating room (External) analysis. So far many different works for the internal analysis have been proposed with the combination of a frame-level and an additional temporal model to address the temporal ambiguities between different workflow phases. For the External recognition task, Clip-level methods are in the focus of researchers targeting the local ambiguities present in the OR scene. In this work we evaluate combinations of different model architectures for the task of surgical workflow recognition to provide a fair comparison of the methods for both Internal and External analysis. We show that methods designed for the Internal analysis can be transferred to the external task with comparable performance gains for different architectures.
