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Automatic annotation of surgical activities using virtual reality environments.

Arnaud HuaulméFabien DespinoySaul Alexis Heredia PerezKanako HaradaMamoru MitsuishiPierre Jannin
Published in: International journal of computer assisted radiology and surgery (2019)
In average, manual annotations took more than 12 min for 1 min of video to achieve low-level physical activity annotation, whereas automatic annotation is achieved in less than a second for the same video period. We also demonstrated that manual annotation introduced mistakes as well as intra- and inter-observer variability that our method is able to suppress due to the high precision and reproducibility.
Keyphrases
  • virtual reality
  • rna seq
  • physical activity
  • deep learning
  • machine learning
  • single cell
  • neural network
  • depressive symptoms
  • sleep quality