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...

Full description

Saved in:
Bibliographic Details
Main Author: KATI, Darko (Author)
Format: Ebooks
Published: KIT Scientific Publishing, 2016.
Subjects:
Online Access:Get Fulltext
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 00966 am a22001813u 4500
001 oer_unej_287
042 |a dc 
100 1 0 |a KATI, Darko  |e author 
245 0 0 |a Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery 
260 |b KIT Scientific Publishing,   |c 2016. 
500 |a http://oer.library.unej.ac.id//index.php?p=show_detail&id=287 
500 |a 000 
520 |a 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. 
546 |a en 
690 |a Computer Science 
690 |a 000 
655 7 |a Text  |2 local 
856 4 1 |u http://oer.library.unej.ac.id//index.php?p=show_detail&id=287  |z Get Fulltext