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Bodenstedt, S., Rivoir, D., Jenke, A., Wagner, M., Breucha, M., Müller-Stich, B., ... & Speidel, S. (2019). Active learning using deep Bayesian networks for surgical workflow analysis. International journal of computer assisted radiology and surgery, 14(6), 1079-1087.
Bodenstedt, Sebastian, et al. "Active learning using deep Bayesian networks for surgical workflow analysis." International journal of computer assisted radiology and surgery 14.6 (2019): 1079-1087.
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S Bodenstedt, D Rivoir, A Jenke, M Wagner… - International journal of …, 2019 - Springer

Active learning using deep Bayesian networks for surgical workflow analysis.

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Bodenstedt, Jenke, Rivoir, Wagner

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Purpose For many applications in the field of computer-assisted surgery, such as providing the position of a tumor, specifying the most probable tool required next by the surgeon or …

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