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

Maximilian Berlet, Thomas Vogel 0003, Daniel Ostler, Tobias Czempiel, M. Kähler, Stephan Brunner, Hubertus Feussner, Dirk Wilhelm, Michael Kranzfelder. 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. Int. J. Computer Assisted Radiology and Surgery, 17(11):1991-1999, 2022. [doi]

@article{BerletVOCKBFWK22,
  title = {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},
  author = {Maximilian Berlet and Thomas Vogel 0003 and Daniel Ostler and Tobias Czempiel and M. Kähler and Stephan Brunner and Hubertus Feussner and Dirk Wilhelm and Michael Kranzfelder},
  year = {2022},
  doi = {10.1007/s11548-022-02680-6},
  url = {https://doi.org/10.1007/s11548-022-02680-6},
  researchr = {https://researchr.org/publication/BerletVOCKBFWK22},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Computer Assisted Radiology and Surgery},
  volume = {17},
  number = {11},
  pages = {1991-1999},
}