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Project Description

This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Computer Sciences Department of the University of Salzburg headed by Andreas Uhl. The short name "WaveLab" already indicates that wavelets are among our favorite tools - we have 15 years of experience in this area. Our research is focused on Multimedia Security including Watermarking, Image and Video Compression, Medical Image Classification, and Biometrics.
   

Computer Assisted Mucosal Lesion Analysis in High Definition Digital Chromoendoscopic Colon Images Using Wavelet Techniques (ColonHD)

 

Project Description:

ColonHD (FWF TRP project 206) is a joint project with Michael Häfner from the St. Elisabeth Hospital, Vienna. The aim of the project is to develop a computer-based decision support system for an automated diagnosis of colon cancer based on high-definition digital chromoendoscopic colon imagery. Staging is done according to a histopathologic ground truth. Images and videos as acquired in Vienna are transfered to Salzburg in anonymous fashion. The Salzburg branch is developing custom classification techniques based on various incarnations of the wavelet transform where the aim is to achieve equivalent classification results as compared to the histological findings.

 
 

Members:

  
 

Timeframe:

  • June 2011 - December 2013
  
 

Publications:

  1. [Liedlgruber11e ] Michael Liedlgruber, Andreas Uhl, "Computer-aided Decision Support Systems for Endoscopy in the Gastrointestinal Tract: A Review", IEEE Reviews in Biomedical Engineering 4, pp. 73-88, 2012
  2. [Haefner12a ] M. Häfner, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba, "Delaunay Triangulation-based Pit Density Estimation for the Classification of Polyps in High-magnification Chromo-colonoscopy", Computer Methods and Programs in Biomedicine :, 2012, accepted
  3. [Haefner12b] M. Häfner, M. Liedlgruber, S. Maimone, A. Uhl, A. Vécsei, F. Wrba, "Evaluation of Cross-validation Protocols for the Classification of Endoscopic Images of Colonic Polyps", In Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS'12), June 2012, accepted
 
Multimedia Signal Processing
and Security Lab
Saturday, 19-May-2012 08:30:20 CEST