当前位置: X-MOL 学术Comput. Assist. Surg. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Challenges in surgical video annotation
Computer Assisted Surgery ( IF 1.5 ) Pub Date : 2021-06-14 , DOI: 10.1080/24699322.2021.1937320
Thomas M Ward 1 , Danyal M Fer 2 , Yutong Ban 1, 3 , Guy Rosman 1, 3 , Ozanan R Meireles 1 , Daniel A Hashimoto 1
Affiliation  

Abstract

Annotation of surgical video is important for establishing ground truth in surgical data science endeavors that involve computer vision. With the growth of the field over the last decade, several challenges have been identified in annotating spatial, temporal, and clinical elements of surgical video as well as challenges in selecting annotators. In reviewing current challenges, we provide suggestions on opportunities for improvement and possible next steps to enable translation of surgical data science efforts in surgical video analysis to clinical research and practice.



中文翻译:

手术视频标注的挑战

摘要

手术视频的注释对于在涉及计算机视觉的手术数据科学工作中建立真实情况非常重要。随着该领域在过去十年中的发展,在注释手术视频的空间、时间和临床元素以及选择注释者方面已经确定了一些挑战。在回顾当前的挑战时,我们提供了关于改进机会和可能的后续步骤的建议,以将手术视频分析中的手术数据科学工作转化为临床研究和实践。

更新日期:2021-06-15
down
wechat
bug