SARAS-ESAD 2020 Dataset

The authors of the SARAS-ESAD 2020 dataset have compiled a collection of data, referred to as the ESAD (Expert Surgical Actions Detection) dataset, to address the challenges involved in Minimally Invasive Surgery (MIS). The success of MIS depends on the proficiency of human surgeons and the efficiency of their coordination. To introduce more automation in MIS, the authors' SARAS consortium is working on the Smart Autonomous Robotic Assistant Surgeon (SARAS) project, aiming to replace the assistant surgeon with two assistive robotic arms. For this purpose, an artificial intelligence-based system is needed to understand the surgical scene, detect the actions performed by the main surgeon, and provide cues for the autonomous assistant surgeon. To create such a system, the SARAS endoscopic vision challenge for surgeon action detection was held in 2020.

SARAS-ESAD 2020数据集的编制者精心汇编了一组数据，称之为ESAD（专家手术动作检测）数据集，旨在应对微创手术（MIS）领域所面临的挑战。MIS的成功与否取决于外科医生的专业技能及其协调效率。为了在MIS中引入更多自动化，SARAS联盟正致力于Smart Autonomous Robotic Assistant Surgeon（SARAS）项目的研究，旨在以两台辅助机器人臂取代助理外科医生。为此，一个基于人工智能的系统变得不可或缺，该系统能够理解手术场景，检测主外科医生所执行的动作，并为自主助理外科医生提供提示。为此，2020年举办了SARAS内窥镜视觉挑战赛，以促进手术动作检测技术的发展。