Rendezvous in time: an attention-based temporal fusion approach for surgical triplet recognition

被引:0
作者
Saurav Sharma
Chinedu Innocent Nwoye
Didier Mutter
Nicolas Padoy
机构
[1] ICube,
[2] University of Strasbourg,undefined
[3] CNRS,undefined
[4] IHU Strasbourg,undefined
[5] University Hospital of Strasbourg,undefined
来源
International Journal of Computer Assisted Radiology and Surgery | 2023年 / 18卷
关键词
Surgical triplet recognition; Laparoscopic surgery; Temporal modeling; Action triplet; Attention model;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1053 / 1059
页数:6
相关论文
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  • [1] Vercauteren T(2020)CAI4CAI: the rise of contextual artificial intelligence in computer-assisted interventions Proc IEEE 108 198-214
  • [2] Unberath M(2017)Surgical data science for next-generation interventions Nat Biomed Eng 1 691-696
  • [3] Padoy N(2017)Endonet: a deep architecture for recognition tasks on laparoscopic videos IEEE TMI 36 86-97
  • [4] Navab N(2022)Rendezvous: attention mechanisms for the recognition of surgical action triplets in endoscopic videos Med Image Anal 78 1059-1067
  • [5] Maier-Hein L(2020)Multi-task recurrent convolutional network with correlation loss for surgical video analysis Med Image Anal 59 85-93
  • [6] Vedula SS(2019)Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos IJCARS 14 undefined-undefined
  • [7] Speidel S(2018)Temporal coherence-based self-supervised learning for laparoscopic workflow analysis LNCS 11041 undefined-undefined
  • [8] Navab N(undefined)undefined undefined undefined undefined-undefined
  • [9] Kikinis R(undefined)undefined undefined undefined undefined-undefined
  • [10] Park A(undefined)undefined undefined undefined undefined-undefined