Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery

• Glavni avtor: Kati?, Darko (auth)
• Format: Elektronski Book Chapter
• Jezik: angleščina
• Izdano: KIT Scientific Publishing 2016
• Teme: Maschinelles Lernen; Assistenz; Ontologie; Ontology; Surgery; Augmented Reality; Chirurgie; Erweiterte RealitätMachine Learning; Assistance
• Online dostop: DOAB: download the publication; DOAB: description of the publication

Izvleček

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.

Fizični opis

1 electronic resource (XV, 148 p. p.)

ISBN

KSP/1000054609
9783731505273

Dostop

Open Access