Against spatial-temporal discrepancy: contrastive learning-based network for surgical workflow recognition.

Journal: International journal of computer assisted radiology and surgery
Published Date:

Abstract

PURPOSE: Automatic workflow recognition from surgical videos is fundamental and significant for developing context-aware systems in modern operating rooms. Although many approaches have been proposed to tackle challenges in this complex task, there are still many problems such as the fine-grained characteristics and spatial-temporal discrepancies in surgical videos.

Authors

  • Tong Xia
    Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Fucang Jia
    Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Boulevard, Shenzhen, 518055, China.