Multilevel effective surgical workflow recognition in robotic left lateral sectionectomy with deep learning: experimental research.

Journal: International journal of surgery (London, England)
Published Date: Oct 1, 2023

Abstract

BACKGROUND: Automated surgical workflow recognition is the foundation for computational models of medical knowledge to interpret surgical procedures. The fine-grained segmentation of the surgical process and the improvement of the accuracy of surgical workflow recognition facilitate the realization of autonomous robotic surgery. This study aimed to construct a multigranularity temporal annotation dataset of the standardized robotic left lateral sectionectomy (RLLS) and develop a deep learning-based automated model for multilevel overall and effective surgical workflow recognition.

Authors

  • Yanzhe Liu
    Casgenome Medicine (Hefei) Ltd, Hefei, China.
  • Shang Zhao
    George Washington University.
  • Gong Zhang
    College of Communication Engineering, Jilin University, Changchun 130012, China.
  • Xiuping Zhang
    Department of Pharmacology, Mudanjiang Medical University, Mudanjiang 157011, China.
  • Minggen Hu
    The Second Department of Hepatopancreatobiliary Surgery, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.
  • Xuan Zhang
  • Chenggang Li
    The Second Department of Hepatopancreatobiliary Surgery, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.
  • S Kevin Zhou
  • Rong Liu
    School of Biomedical Engineering, Dalian University of Technology, Dalian, China.

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