Augmenting instrument segmentation in video sequences of minimally invasive surgery by synthetic smoky frames

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Metadaten
Author:Tobias RückertORCiD, Maximilian Rieder, David Rauber, Michel Xiao, Eg Humolli, Hubertus Feussner, Dirk Wilhelm, Christoph PalmORCiDGND
DOI:https://doi.org/10.1007/s11548-023-02878-2
Parent Title (English):International Journal of Computer Assisted Radiology and Surgery
Publisher:Springer Nature
Document Type:conference proceeding (presentation, abstract)
Language:English
Year of first Publication:2023
Release Date:2023/07/06
Tag:Surgical instrument segmentation; robot-assisted surgery; smoke simulation; unpaired image-to-image translation
Volume:18
Issue:Suppl 1
First Page:S54
Last Page:S56
Konferenzangabe:CARS 2023—Computer Assisted Radiology and Surgery Proceedings of the 37th International Congress and Exhibition Munich, Germany, June 20–23, 2023
Institutes:Fakultät Informatik und Mathematik
Regensburg Center of Health Sciences and Technology - RCHST
Fakultät Informatik und Mathematik / Regensburg Medical Image Computing (ReMIC)
Begutachtungsstatus:peer-reviewed
Kostenträger (Forschungsprojekt, Labor, Einrichtung etc.):2027701
research focus:Lebenswissenschaften und Ethik
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG