Challenges in surgical video annotation.

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.

authors

Ward TM,Fer DM,Ban Y,Rosman G,Meireles OR,Hashimoto DA

doi

10.1080/24699322.2021.1937320

keywords:

["Annotation","Image classification","Object detection","Semantic segmentation","Surgical video","inter-rater reliability","temporal annotation"]

subject

Has Abstract

pub_date

2021-12-01 00:00:00

pages

58-68

issue

1

issn

2469-9322

journal_volume

26

pub_type

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