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Active learning using deep Bayesian networks for surgical workflow analysis

Crossref DOI link: https://doi.org/10.1007/s11548-019-01963-9

Published Online: 2019-04-09

Published Print: 2019-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bodenstedt, Sebastian https://orcid.org/0000-0002-2203-9729
Rivoir, Dominik

Jenke, Alexander

Wagner, Martin

Breucha, Michael

Müller-Stich, Beat

Mees, Sören Torge

Weitz, Jürgen

Speidel, Stefanie
License Information

Text and Data Mining valid from 2019-04-09
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Article History

Received: 30 January 2019

Accepted: 2 April 2019

First Online: 9 April 2019

Compliance with ethical standards

:

: The authors declare that they have no conflict of interest.

: For this type of study, formal consent is not required.

: This article contains patient data from publicly available datasets.