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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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Bibliographische Detailangaben
Hauptverfasser: Bodenstedt, Sebastian (VerfasserIn) , Wagner, Martin (VerfasserIn) , Kenngott, Hannes Götz (VerfasserIn) , Müller, Beat P. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 9 April 2019
In: International journal of computer assisted radiology and surgery
Year: 2019, Jahrgang: 14, Heft: 6, Pages: 1089-1095
ISSN:1861-6429
DOI:10.1007/s11548-019-01966-6
Online-Zugang:Verlag, Volltext: https://doi.org/10.1007/s11548-019-01966-6
Verlag, Volltext: https://link.springer.com/article/10.1007/s11548-019-01966-6
Volltext
Verfasserangaben:Sebastian Bodenstedt, Martin Wagner, Lars Mündermann, Hannes Kenngott, Beat Müller-Stich, Michael Breucha, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel

MARC

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