Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery

Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery

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...

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Bibliographic Details
Main Author: Kati?, Darko (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2016
Subjects:
Maschinelles Lernen
Assistenz
Ontologie
Ontology
Surgery
Augmented Reality
Chirurgie
Erweiterte RealitätMachine Learning
Assistance
Online Access:DOAB: download the publication
DOAB: description of the publication
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Summary: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.
Physical Description:1 electronic resource (XV, 148 p. p.)
ISBN:KSP/1000054609
9783731505273
Access:Open Access

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