Ontology highlight
ABSTRACT:
SUBMITTER: Stauder R
PROVIDER: S-EPMC6754013 | biostudies-literature | 2017 Sep
REPOSITORIES: biostudies-literature
Stauder Ralf R Ostler Daniel D Vogel Thomas T Wilhelm Dirk D Koller Sebastian S Kranzfelder Michael M Navab Nassir N
Innovative surgical sciences 20170909 3
Different components of the newly defined field of surgical data science have been under research at our groups for more than a decade now. In this paper, we describe our sensor-driven approaches to workflow recognition without the need for explicit models, and our current aim is to apply this knowledge to enable context-aware surgical assistance systems, such as a unified surgical display and robotic assistance systems. The methods we evaluated over time include dynamic time warping, hidden Mar ...[more]