Methods for Automatic Statistical Modeling of Surgical Workflow

نویسندگان

  • Tobias Blum
  • Nassir Navab
  • Hubertus Feußner
چکیده

An increasing amount of data can be recorded automatically during surgeries. This has led to a recent interest in methods that allow statistical modeling of surgical workflow from this data. One main challenge of these methods is how to automatically generate a statistical model from a set of recorded surgeries. In this paper we will review different methods and show advantages and drawbacks.

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تاریخ انتشار 2010