Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery

• Autore: Kati? Darko
• Pubblicazione: KIT Scientific Publishing, 2016
• Descrizione fisica: 1 electronic resource (XV, 148 p. p.)
• Soggetto non controllato: Maschinelles Lernen; Assistenz; Ontologie; Ontology; Surgery; Augmented Reality; Chirurgie; Erweiterte RealitätMachine Learning; Assistance
• Sommario/riassunto: 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.
• Titolo autorizzato: Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery
• ISBN: 1000054609
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910346771103321
• Lo trovi qui: Univ. Federico II