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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| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
9 April 2019
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| 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 
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| Verfasserangaben: | Sebastian Bodenstedt, Martin Wagner, Lars Mündermann, Hannes Kenngott, Beat Müller-Stich, Michael Breucha, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel |
| Zusammenfassung: | 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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| Beschreibung: | Gesehen am 11.09.2019 |
| Beschreibung: | Online Resource |
| ISSN: | 1861-6429 |
| DOI: | 10.1007/s11548-019-01966-6 |