Challenges in surgical video annotation

Ward, Thomas M; Fer, Danyal M; Ban, Yutong; Rosman, Guy; Meireless, Ozanan R; Hashimoto, Daniel A

dc.contributor.author	Ward, Thomas M
dc.contributor.author	Fer, Danyal M
dc.contributor.author	Ban, Yutong
dc.contributor.author	Rosman, Guy
dc.contributor.author	Meireless, Ozanan R
dc.contributor.author	Hashimoto, Daniel A
dc.date.accessioned	2021-11-29T03:30:16Z
dc.date.available	2021-11-29T03:30:16Z
dc.date.issued	2021-05-14
dc.identifier.citation	https://doi.org/10.1080/24699322.2021.1937320	en_US
dc.identifier.uri	${sadil.baseUrl}/handle/123456789/673
dc.description	article, 10 p.	en_US
dc.description.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.	en_US
dc.description.sponsorship	aSurgical AI & Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA; bDepartment of Surgery, University of California San Francisco East Bay, Hayward, CA, USA; cDistributed Robotics Laboratory, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA	en_US
dc.language.iso	en	en_US
dc.publisher	Taylor & Francis	en_US
dc.relation.ispartofseries	Computer Assisted Surgery;vol.26, no.1, 58-68
dc.subject	surgical video	en_US
dc.subject	annotation	en_US
dc.subject	image classification	en_US
dc.subject	object detection	en_US
dc.subject	semantic segmentation	en_US
dc.subject	temporal annotation	en_US
dc.subject	inter-rater reliability	en_US
dc.title	Challenges in surgical video annotation	en_US
dc.type	Article	en_US