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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Dettagli Bibliografici

Autore principale:	Kati?, Darko
Natura:	Online
Lingua:	inglese
Pubblicazione:	KIT Scientific Publishing 2021
Soggetti:	QA75.5-76.95 Maschinelles Lernen Assistenz Ontologie Ontology Surgery Augmented Reality Chirurgie Erweiterte RealitätMachine Learning Assistance bic Book Industry Communication::U Computing & information technology::UY Computer science
Accesso online:	34632
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