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

HIGHLIGHTS

• who: M. Berlet from the Department of Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany have published the article: 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, in the Journal: (JOURNAL)
• what: The authors propose a workflow to generate operative notes based on the output of the TeCNO CNN. The authors explore, how patterns of incorrectly assigned frames (u2018phase flickering`) in the CNN`s annotation can be used to obtain even more information, e_g about . . .
  

   

  

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