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Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery

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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.

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Availability

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Detail Information

Series Title

-

Call Number

617.550 57 KAT s

Publisher

: KIT Scientific Publishing., 2016

Collation

-

Language

English

ISBN/ISSN

-

Classification

617.550 57

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Laparoscopic surgery

Specific Detail Info

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Statement of Responsibility

Darko Katić

Other Information

Cataloger

Kurnadi

Source

-

Validator

maya

Other version/related

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