Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data

Purpose The course of surgical procedures is often unpredictable, making it difficult to estimate the duration of procedures beforehand. This uncertainty makes scheduling surgical procedures a...

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Bibliographic Details
Main Authors:	Bodenstedt, Sebastian (Author) , Wagner, Martin (Author) , Kenngott, Hannes Götz (Author) , Müller, Beat P. (Author)
Format:	Article (Journal)
Language:	English
Published:	9 April 2019
In:	International journal of computer assisted radiology and surgery Year: 2019, Volume: 14, Issue: 6, Pages: 1089-1095
ISSN:	1861-6429
DOI:	10.1007/s11548-019-01966-6
Online Access:	Verlag, Volltext: https://doi.org/10.1007/s11548-019-01966-6 Verlag, Volltext: https://link.springer.com/article/10.1007/s11548-019-01966-6
Author Notes:	Sebastian Bodenstedt, Martin Wagner, Lars Mündermann, Hannes Kenngott, Beat Müller-Stich, Michael Breucha, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel

Description
Summary:	Purpose The course of surgical procedures is often unpredictable, making it difficult to estimate the duration of procedures beforehand. This uncertainty makes scheduling surgical procedures a...
Item Description:	Gesehen am 11.09.2019
Physical Description:	Online Resource
ISSN:	1861-6429
DOI:	10.1007/s11548-019-01966-6