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Titel:

Surgical reporting for laparoscopic cholecystectomy based on phase annotation by a convolutional neural network (CNN) and the phenomenon of phase flickering: a proof of concept.

Dokumenttyp:
Journal Article
Autor(en):
Berlet, M; Vogel, T; Ostler, D; Czempiel, T; Kähler, M; Brunner, S; Feussner, H; Wilhelm, D; Kranzfelder, M
Abstract:
PURPOSE: Surgical documentation is an important yet time-consuming necessity in clinical routine. Beside its core function to transmit information about a surgery to other medical professionals, the surgical report has gained even more significance in terms of information extraction for scientific, administrative and judicial application. A possible basis for computer aided reporting is phase detection by convolutional neural networks (CNN). In this article we propose a workflow to generate oper...     »
Zeitschriftentitel:
Int J Comput Assist Radiol Surg
Jahr:
2022
Band / Volume:
17
Heft / Issue:
11
Seitenangaben Beitrag:
1991-1999
Volltext / DOI:
doi:10.1007/s11548-022-02680-6
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/35643827
Print-ISSN:
1861-6410
TUM Einrichtung:
Klinik und Poliklinik für Chirurgie
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