Learning Dynamic Spatial Relations The Case of a Knowledge-based Endoscopic Camera Guidance Robot /

Andreas Bihlmaier describes a novel method to model dynamic spatial relations by machine learning techniques. The method is applied to the task of representing the tacit knowledge of a trained camera assistant in minimally-invasive surgery. The model is then used for intraoperative control of a robo...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bihlmaier, Andreas (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2016.
Edición:1st ed. 2016.
Temas:
Artificial intelligence.
Endoscopic surgery.
Pattern recognition systems.
Artificial Intelligence.
Minimally Invasive Surgery.
Automated Pattern Recognition.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Endoscope Robots and Automated Camera Guidance
  • Knowledge-based Cognitive Systems
  • Modular Research Platform for Robot-Assisted Surgery based on ROS
  • Learning of Surgical Know-how by Models of Spatial Relations
  • Intraoperative Camera Assistance
  • Evaluation Study: TME in the Open Source Heidelberg Laparoscopic Phantom (OpenHELP).

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