Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery
Kati?, Darko
Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery - KIT Scientific Publishing 2016 - 1 electronic resource (XV, 148 p. p.)
Open Access
To manage the influx of information into surgical practice, new man-machine interaction methods are necessary to prevent information overflow. This work presents an approach to automatically segment surgeries into phases and select the most appropriate pieces of information for the current situation. This way, assistance systems can adopt themselves to the needs of the surgeon and not the other way around.
Creative Commons
English
KSP/1000054609 9783731505273
10.5445/KSP/1000054609 doi
Maschinelles Lernen Assistenz Ontologie Ontology Surgery Augmented Reality Chirurgie Erweiterte RealitätMachine Learning Assistance
Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery - KIT Scientific Publishing 2016 - 1 electronic resource (XV, 148 p. p.)
Open Access
To manage the influx of information into surgical practice, new man-machine interaction methods are necessary to prevent information overflow. This work presents an approach to automatically segment surgeries into phases and select the most appropriate pieces of information for the current situation. This way, assistance systems can adopt themselves to the needs of the surgeon and not the other way around.
Creative Commons
English
KSP/1000054609 9783731505273
10.5445/KSP/1000054609 doi
Maschinelles Lernen Assistenz Ontologie Ontology Surgery Augmented Reality Chirurgie Erweiterte RealitätMachine Learning Assistance