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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 Pit-Pattern Classification of Magnifying Endoscopic Colon Images Using Wavelet Techniques (PitClassWav)

 

Project Description:

PitClassWav (FWF TRP project L366) 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 incarnations of the wavelet transform where the aim is to achieve equivalent classification results as compared to the histological findings.

 
 

Members:

 
 

Timeframe:

  • March 2007 - February 2009
 
 

Publications:

  1. [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
  2. [Haefner12a  ] Delaunay Triangulation-based Pit Density Estimation for the Classification of Polyps in High-magnification Chromo-colonoscopy M. Häfner, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba Computer Methods and Programs in Biomedicine 107:3, pp. 565-581, 2012
  3. [Kwitt12a ] Endoscopic image analysis in semantic space R. Kwitt, N. Vasconcelos, N. Rasiwasia, A. Uhl, B. Davis, M. Häfner, F. Wrba Medical Image Analysis 16, pp. 1415-1422, 2012
  4. [Haefner12b  ] Evaluation of Cross-validation Protocols for the Classification of Endoscopic Images of Colonic Polyps M. Häfner, M. Liedlgruber, S. Maimone, A. Uhl, A. Vécsei, F. Wrba In Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS'12)June 2012
  5. [Haefner11a  ] Color Treatment in Endoscopic Image Classification using Multi-scale Local Color Vector Patterns M. Häfner, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba Medical Image Analysis 16:1, pp. 75-86, Jan. 2012
  6. [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
  7. [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
  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. [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
  10. [Haefner11b  ] Optimized selection of weak methods for the classification of endoscopic images using an ensemble classifier M. Häfner, S. Hegenbart, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba In Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis (ISPA'11), pp. 721-726, Dubrovnik, Croatia, Sep. 2011
  11. [Kwitt11a  ] Efficient Texture Image Retrieval Using Copulas in a Bayesian Framework R. Kwitt, P. Meerwald, A. Uhl IEEE Transactions on Image Processing 20:7, pp. 2063-2077, July 2011
  12. [Haefner10b ] Computer-aided Classification of Zoom-Endoscopical Images using Fourier Filters M. Häfner, L. Brunauer, H. Payer, R. Resch, A. Gangl, A. Uhl, A. Vécsei, F. Wrba IEEE Transactions on Information Technology in Biomedicine 14:4, pp. 958-970, 2010
  13. [Haefner10c  ] Endoscopic Image Classification using Edge-Based Features M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba In Proceedings of the 20th International Conference on Pattern Recognition (ICPR'10), pp. 2724-2727, Istanbul, Turkey, Aug. 2010
  14. [Kwitt10b  ] Predicting the Histology of Colorectal Lesions in a Probabilistic Framework R. Kwitt, A. Uhl, M. Häfner, A. Gangl, F. Wrba, A. Vécsei In Proceedings of the IEEE International Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '10), pp. 103-110, San Francisco, CA, United States, June, 13-14, 2010
  15. [Haefner10a  ] Classification of endoscopic images using Delaunay triangulation-based edge features M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, 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
  16. [Kwitt10d  ] Statistical Modeling in the Wavelet Domain and Applications R. Kwitt PhD thesis, University of Salzburg, Salzburg, Austria, April 2010
  17. [Kwitt09g  ] Lightweight Probabilistic Image Retrieval R. Kwitt, A. Uhl IEEE Transactions on Image Processing 19:1, pp. 241-253, Jan. 2010
  18. [Haefner09a  ] Pit Pattern Classification Using Multichannel Features and Multiclassification M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba In T.P. Exarchos, A. Papadopoulos, D.I. Fotiadis, editors, Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications, pp. 335-350, Hershey, PA, USA, IGI Global, 2009
  19. [Haefner09b  ] Combining Gaussian Markov Random Fields with the Discrete Wavelet Transform for Endoscopic Image Classification M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba In Proceedings of the 17th International Conference on Digital Signal Processing (DSP'09), pp. 177-182, Santorini, Greece, 2009
  20. [Kwitt09c  ] Improving Pit-Pattern Classification of Endoscopy Images by a Combination of Experts M. Häfner, A. Gangl, R. Kwitt, A. Uhl, A. Vécsei, F. Wrba In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '09), pp. 247-254, London, UK, 2009
  21. [Kwitt08f  ] Feature-Extraction from Multi-Directional Multi-Resolution Image Transformations for the Classification of Zoom-Endoscopy Images M. Häfner, R. Kwitt, A. Uhl, A. Gangl, F. Wrba, A. Vécsei Pattern Analysis and Applications 12:4, pp. 407-413, Springer, Dec. 2009
  22. [Haefner09c  ] Pit Pattern Classification using Extended Local Binary Patterns M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba In Proceedings of the 9th International Conference on Information Technology and Applications in Biomedicine (ITAB'09)Larnaca, Cyprus, November 5 - 7, 2009
  23. [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
  24. [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
  25. [Kwitt07b  ] Multi--Directional Multi-Resolution Transforms for Zoom--Endoscopy Image Classification (Best Paper Award at CORES '07) R. Kwitt, A. Uhl In Computer Recognition Systems 2, pp. 35-43, Advances in Soft Computing, 45, Springer, 2008
  26. [Haefner08a  ] One-Against-One Classification for Zoom-Endoscopy Images M. Häfner, R. Kwitt, F. Wrba, A. Gangl, A. Vécsei, A. Uhl In Proceedings of the 4th International Conference on Advances in Medical, Signal and Information Processing (MEDSIP '08), pp. 1-4, Santa Margherita Ligure, Italy, 2008
  27. [Kwitt08a  ] Color Eigen-Subband Features for Endoscopy Image Classification R. Kwitt, A. Uhl In Proceedings of the 33rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '08), pp. 589-592, Las Vegas, Nevada, United States, 2008
  28. [Kwitt08b  ] Color Wavelet Cross Co-Occurrence Matrices for Endoscopy Image Classification R. Kwitt, A. Uhl In Proceedings of the 3rd International Symposium on Communications, Control and Signal Processing (ISCCSP '08), pp. 715-718, St. Julians, Malta, 2008
  29. [Kwitt08d  ] Image Similarity Measurement By Kullback-Leibler Divergences between Complex Wavelet Subband Statistics for Texture Retrieval R. Kwitt, A. Uhl In Proceedings of the IEEE International Conference on Image Processing (ICIP '08), pp. 933-936, San Diego, California, United States, Oct. 2008
  30. [Kwitt08g  ] Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps M. Häfner, R. Kwitt, A. Uhl, A. Gangl, F. Wrba, A. Vécsei Pattern Recognition 42:6, pp. 1180-1191, Elsevier Ltd., Sep. 2008
  31. [Kwitt07a  ] Modeling the Marginal Distributions of Complex Wavelet Coefficient Magnitudes for the Classification of Zoom-Endoscopy Images R. Kwitt, A. Uhl In Proceedings of the IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '07), pp. 1-8, Rio de Janeiro, Brasil, 2007
  32. [Liedlgruber07a ] Statistical and structural wavelet packet features for Pit pattern classification in zoom-endoscopic colon images M. Liedlgruber, A. Uhl In P. Dondon, V. Mladenov, S. Impedovo, S. Cepisca, editors, Proceedings of the 7th WSEAS International Conference on Wavelet Analysis & Multirate Systems (WAMUS'07), pp. 147-152, Arcachon, France, Oct. 2007
  33. [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
  34. [Haefner06c ] Computer-assisted Pit Pattern Analysis of Colonic Lesions M. Häfner, M. Liedlgruber, F. Wrba, A. Gangl, A. Vécsei, A. Uhl In Proceedings of the 2006 Digestive Disease Week / ASGELos Angeles, CA, US, may, poster no. 224417
  35. [Haefner06a ] Pit pattern classification of zoom-endoscopic colon images using wavelet texture features M. Häfner, M. Liedlgruber, F. Wrba, A. Gangl, A. Vécsei, A. Uhl In W. Sandham, D. Hamilton, C. James, editors, Proceedings of the International Conference on Advances in Medical Signal and Image Processing (MEDSIP'06), Glasgow, Scotland, UK, July 2006, paper no. 0038