Lecture: Instrument Classification in Laparoscopic Videos

Master data
Title: Instrument Classification in Laparoscopic Videos
Description:

In medical endoscopy more and more surgeons record videos of their interventions in a long-term storage archive for later retrieval. In order to allow content-based search in such endoscopic video archives, the video data needs to be indexed first. However, even the very basic step of content-based indexing, namely content segmentation, is already very challenging due to the special characteristics of such video data. Therefore, we propose to use instrument classification to enable semantic segmentation of laparoscopic videos. In this paper, we evaluate the performance of such an instrument classification approach. Our results show satisfying performance for all instruments used in our evaluation.
Keywords:
Type: Registered lecture
Homepage: http://siret.ms.mff.cuni.cz/cbmi2015/
Event: 13th International Workshop on Content-Based Multimedia Indexing (CBMI 2015) (Prag)
Date: 12.06.2015
lecture status:

Participants
Manfred Jürgen Primus
ManfredJuergen.Primus@aau.at
Research activities
To visiting card
(internal)
  • Speaker

Assignment
Organisation Address
Fakultät für Technische Wissenschaften
  Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Austria
   martina.steinbacher@aau.at
http://itec.aau.at/
To organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation
Subject areas
  • 1020 - Computer Sciences
Research Cluster
  • Self-organizing systems
Focus of lecture
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
Group of participants
  • Mainly international
Published?
  • Yes
working groups
  • Distributed Multimedia Systems

Cooperations
No partner organisations selected