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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 Artificial Intelligence and Human Interfaces (AIHI) Department of the University of Salzburg led by Andreas Uhl. Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood industry.
   

Computer-assisted Pit Pattern Analysis of Colonic Lesion (EndoPit)

 

Project Description:

EndoPit (Austrian National Bank Jubiläumsfonds project no. 12514 by the Medical University of Vienna) is a joint project with Michael Häfner from the Medical University of Vienna. The aim of the project is to develop a computer-based decision support system for an automated diagnosis of colon cancer based on zoom-endoscopic colon imagery. Staging is done according to the recent pit pattern calssification scheme. Images are acquired at the Medical University of Vienna and are transfered to Salzburg in anonymous fashion. The histological classification is available as ground truth. The Salzburg branch is developing custom classification techniques based on various features extracted from the spatial and Fourier-type domains where the aim is to achieve at least equivalent classification results as compared to the histological findings.

 
 

Members:

  
 

Timeframe:

  • June 2007 - June 2009
  
 

Publications:

  1. [Haefner12b  ] Evaluation of Cross-validation Protocols for the Classification of Endoscopic Images of Colonic Polyps M. Häfner, M. Liedlgruber, S. Maimone, A. Uhl, A. V\'ecsei, F. Wrba In Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS'12)June 2012
  2. [Haefner11a  ] Color Treatment in Endoscopic Image Classification using Multi-scale Local Color Vector Patterns M. Häfner, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba Medical Image Analysis 16:1, pp. 75-86, Jan. 2012
  3. [Haefner12a  ] Delaunay Triangulation-based Pit Density Estimation for the Classification of Polyps in High-magnification Chromo-colonoscopy M. Häfner, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba Computer Methods and Programs in Biomedicine 107:3, pp. 565-581, 2012
  4. [Liedlgruber11e  ] Computer-aided Decision Support Systems for Endoscopy in the Gastrointestinal Tract: A Review Michael Liedlgruber, Andreas Uhl IEEE Reviews in Biomedical Engineering 4, pp. 73-88, 2012
  5. [Kwitt11b  ] Testing a Multivariate Model for Wavelet Coefficients Roland Kwitt, Peter Meerwald, Andreas Uhl, Geert Verdoolaege In Proceedings of the IEEE International Conference on Image Processing (ICIP '11), pp. 1277-1280, Brussels, Belgium, September 11 - 14, 2011
  6. [Kwitt11c ] Learning Pit Pattern Concepts for Gastroenterological Training R. Kwitt, N. Rasiwasia, N. Vasconcelos, A. Uhl, M. Häfner, F. Wrba In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '11), pp. 280-287, Toronto, Canada, LNCS 6893, 2011
  7. [Liedlgruber11c  ] A Summary of Research Targeted at Computer-Aided Decision Support in Endoscopy of the Gastrointestinal Tract M. Liedlgruber, A. Uhl Department of Computer Sciences, University of Salzburg, Austriahttp://www.cosy.sbg.ac.at/tr, Technical Report 2011-01, 2011
  8. [Liedlgruber11a  ] Predicting Pathology in Medical Decision Support Systems in Endoscopy of the Gastrointestinal Tract Michael Liedlgruber, Andreas Uhl In Chiang Jao, editor, Efficient Decision Support Systems -- Practice and Challenges in Biomedical Related Domain, pp. 195-214, Rijeka, Croatia, InTech, 2011
  9. [Uhl10a  ] Complex Wavelet Transform variants and Discrete Cosine Transform for scale invariance in magnification-endoscopy image classification M. Häfner, A. Uhl, A. Vécsei, G. Wimmer, F. Wrba In 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB), pp. 1-5, Nov 2010
  10. [Haefner10c  ] Endoscopic Image Classification using Edge-Based Features M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba In Proceedings of the 20th International Conference on Pattern Recognition (ICPR'10), pp. 2724-2727, Istanbul, Turkey, Aug. 2010
  11. [Haefner10a  ] Classification of endoscopic images using Delaunay triangulation-based edge features M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba In Proceedings of the International Conference on Image Analysis and Recognition (ICIAR'10), pp. 131-140, Povoa de Varzim, Portugal, Springer LNCS, 6112, June 2010
  12. [Kwitt09g  ] Lightweight Probabilistic Image Retrieval R. Kwitt, A. Uhl IEEE Transactions on Image Processing 19:1, pp. 241-253, Jan. 2010
  13. [Haefner10b ] Computer-aided Classification of Zoom-Endoscopical Images using Fourier Filters M. Häfner, L. Brunauer, H. Payer, R. Resch, A. Gangl, A. Uhl, A. V\'ecsei, F. Wrba IEEE Transactions on Information Technology in Biomedicine 14:4, pp. 958-970, 2010
  14. [Haefner09c  ] Pit Pattern Classification using Extended Local Binary Patterns M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba In Proceedings of the 9th International Conference on Information Technology and Applications in Biomedicine (ITAB'09)Larnaca, Cyprus, November 5 - 7, 2009
  15. [Kwitt09f   ] A Joint Model of Complex Wavelet Coefficients for Texture Retrieval R. Kwitt, A. Uhl In Proceedings of the IEEE International Conference on Image Processing (ICIP '09), pp. 1877-1880, Cairo, Egypt, November 7 - 11, 2009
  16. [Liedlgruber09a  ] Endoscopic Image Processing - An Overview M. Liedlgruber, A. Uhl In Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis, ISPA '09, pp. 707-712, Salzburg, Austria, September 16 - 18, 2009
  17. [Kwitt09c  ] Improving Pit-Pattern Classification of Endoscopy Images by a Combination of Experts M. Häfner, A. Gangl, R. Kwitt, A. Uhl, A. V\'ecsei, F. Wrba In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '09), pp. 247-254, London, UK, 2009
  18. [Haefner09b  ] Combining Gaussian Markov Random Fields with the Discrete Wavelet Transform for Endoscopic Image Classification M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba In Proceedings of the 17th International Conference on Digital Signal Processing (DSP'09), pp. 177-182, Santorini, Greece, 2009
  19. [Haefner09a  ] Pit Pattern Classification Using Multichannel Features and Multiclassification M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba In D.I. Fotiadis A. Papadopoulos T.P. Exarchos, editor, Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications, pp. 335-350, Hershey, PA, USA, IGI Global, 2009
  20. [Haefner07b ] Pit pattern classification of zoom-endoscopical colon images using evolved Fourier feature vectors M. Häfner, L. Brunauer, H. Payer, R. Resch, F. Wrba, A. Gangl, A. V\'ecsei, A. Uhl In K. Diamantaras, T. Adali, I. Pitas, J. Larsen, T. Papadimitriou, S. Douglas, editors, Proceedings of the 2007 IEEE Machine Learning for Signal Processing Workshop (MLSP'07), pp. 99-104, Thessaloniki, Greece, IEEE, Aug. 2007
  21. [Haefner07a ] Pit pattern classification of zoom-endoscopic colon images using DCT and FFT M. Häfner, L. Brunauer, H. Payer, R. Resch, F. Wrba, A. Gangl, A. V\'ecsei, A. Uhl In P. Kokol, V. Podgorelec, D. Micetic-Turk, M. Zorman, M. Verlic, editors, Proceedings of the IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), pp. 159-164, Maribor, Slovenia, IEEE Computer Society CPS, June 2007
  22. [Haefner07c ] Comparison of k-NN, SVM, and NN in Pit Pattern Classification of Zoom-Endoscopic Colon Images using Co-Occurrence Histograms M. Häfner, C. Kastinger, H.P. Schmidt, K. Thonhauser, F. Wrba, A. Gangl, A. V\'ecsei, A. Uhl In M. Petrou, T. Saramäki, A. Ercil, S. Loncaric, editors, Proceedings of the 5th International Symposium on Image and Signal Processing and Analysis (ISPA'07), pp. 516-521, 2007
  23. [Haefner06b ] Pit pattern classification of zoom-endoscopic colon images using histogram techniques M. Häfner, C. Kendlbacher, W. Mann, W. Taferl, F. Wrba, A. Gangl, A. V\'ecsei, A. Uhl In Johannes R. Sveinsson, editor, Proceedings of the 7th Nordic Signal Processing Symposium (NORSIG 2006), pp. 58-61, Reykjavik, Iceland, June 2006
  24. [Haefner06d  ] Computer-Assisted Pit Pattern Analysis of Colonic Lesions Michael Häfner, Michael Liedlgruber, Andreas Puespoek, Schickmair Thomas, Rainer Schoefl, Friedrich Wrba, Alfred Gangl, Andreas Uhl Gastrointestinal Endoscopy 63:5, pp. AB247-AB247, 2006
 
Multimedia Signal Processing
and Security Lab
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