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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. 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. [Haefner10b] M. Häfner, L. Brunauer, H. Payer, R. Resch, A. Gangl, A. Uhl, A. V\'ecsei, F. Wrba, "Computer-aided Classification of Zoom-Endoscopical Images using Fourier Filters", IEEE Transactions on Information Technology in Biomedicine :, 2010, to appear
  2. [Haefner10c] M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba, "Endoscopic Image Classification using Edge-Based Features", In Proceedings of the 20th International Conference on Pattern Recognition (ICPR'10), Istanbul, Turkey, Aug. 2010, to appear
  3. [Kwitt10b] R. Kwitt, A. Uhl, M. Häfner, A. Gangl, F. Wrba, A. V\'ecsei, "Predicting the Histology of Colorectal Lesions in a Probabilistic Framework", In Proceedings of the IEEE International Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '10), San Francisco, CA, United States, June, 14, 2010, accepted
  4. [Haefner10a ] M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba, "Classification of endoscopic images using Delaunay triangulation-based edge features", In Proceedings of the International Conference on Image Analysis and Recognition (ICIAR'10), Povoa de Varzim, Portugal, Springer LNCS, June 2010
  5. [Kwitt09g ] R. Kwitt, A. Uhl, "Lightweight Probabilistic Image Retrieval", IEEE Transactions on Image Processing 19:1, pp. 241-253, Jan. 2010
  6. [Haefner09a ] M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba, "Pit Pattern Classification Using Multichannel Features and Multiclassification", 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
  7. [Haefner09b ] M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vecsei, F. Wrba, "Combining Gaussian Markov Random Fields with the Discrete Wavelet Transform for Endoscopic Image Classification", In Proceedings of the 17th International Conference on Digital Signal Processing (DSP'09), pp. 177-182, Santorini, Greece, 2009
  8. [Kwitt09c ] M. Häfner, A. Gangl, R. Kwitt, A. Uhl, A. Vecsei, F. Wrba, "Improving Pit-Pattern Classification of Endoscopy Images by a Combination of Experts", In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '09), pp. 247-254, London, UK, 2009
  9. [Kwitt08f ] M. Häfner, R. Kwitt, A. Uhl, A. Gangl, F. Wrba, A. Vecsei, "Feature-Extraction from Multi-Directional Multi-Resolution Image Transformations for the Classification of Zoom-Endoscopy Images", Pattern Analysis and Applications 12:4, pp. 407-413, Springer, Dec. 2009
  10. [Haefner09c ] M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba, "Pit Pattern Classification using Extended Local Binary Patterns", In Proceedings of the 9th International Conference on Information Technology and Applications in Biomedicine (ITAB'09), Larnaca, Cyprus, November 5 - 7, 2009
  11. [Kwitt09f  ] R. Kwitt, A. Uhl, "A Joint Model of Complex Wavelet Coefficients for Texture Retrieval", In Proceedings of the IEEE International Conference on Image Processing (ICIP '09), pp. 1877-1880, Cairo, Egypt, November 7 - 11, 2009
  12. [Liedlgruber09a ] M. Liedlgruber, A. Uhl, "Endoscopic Image Processing - An Overview", 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
  13. [Kwitt07b ] R. Kwitt, A. Uhl, "Multi--Directional Multi-Resolution Transforms for Zoom--Endoscopy Image Classification (Best Paper Award at CORES '07)", In Computer Recognition Systems 2, pp. 35-43, Advances in Soft Computing, 45, Springer, 2008
  14. [Haefner08a ] M. Häfner, R. Kwitt, F. Wrba, A. Gangl, A. V\'ecsei, A. Uhl, "One-Against-One Classification for Zoom-Endoscopy Images", 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
  15. [Kwitt08a ] R. Kwitt, A. Uhl, "Color Eigen-Subband Features for Endoscopy Image Classification", 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
  16. [Kwitt08b ] R. Kwitt, A. Uhl, "Color Wavelet Cross Co-Occurrence Matrices for Endoscopy Image Classification", In Proceedings of the 3rd International Symposium on Communications, Control and Signal Processing (ISCCSP'08), pp. 715-718, St. Julians, Malta, 2008
  17. [Kwitt08d ] R. Kwitt, A. Uhl, "Image Similarity Measurement By Kullback-Leibler Divergences between Complex Wavelet Subband Statistics for Texture Retrieval", In Proceedings of the IEEE International Conference on Image Processing (ICIP'08), pp. 933-936, San Diego, California, United States, Oct. 2008
  18. [Kwitt08g ] M. Häfner, R. Kwitt, A. Uhl, A. Gangl, F. Wrba, A. Vecsei, "Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps", Pattern Recognition 42:6, pp. 1180-1191, Elsevier Ltd., Sep. 2008
  19. [Kwitt07a ] R. Kwitt, A. Uhl, "Modeling the Marginal Distributions of Complex Wavelet Coefficient Magnitudes for the Classification of Zoom-Endoscopy Images", 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
  20. [Liedlgruber07a] M. Liedlgruber, A. Uhl, "Statistical and structural wavelet packet features for Pit pattern classification in zoom-endoscopic colon images", 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
  21. [Haefner06d] Michael Häfner, Michael Liedlgruber, Andreas Puespoek, Schickmair Thomas, Rainer Schoefl, Friedrich Wrba, Alfred Gangl, Andreas Uhl, "Computer-Assisted Pit Pattern Analysis of Colonic Lesions", Gastrointestinal Endoscopy 63:5, pp. AB247-AB247, 2006
  22. [Haefner06c] M. Häfner, M. Liedlgruber, F. Wrba, A. Gangl, A. V\'ecsei, A. Uhl, "Computer-assisted Pit Pattern Analysis of Colonic Lesions", In Proceedings of the 2006 Digestive Disease Week / ASGE, Los Angeles, CA, US, may, poster no. 224417
  23. [Haefner06a] M. Häfner, M. Liedlgruber, F. Wrba, A. Gangl, A. V\'ecsei, A. Uhl, "Pit pattern classification of zoom-endoscopic colon images using wavelet texture features", 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
 
Multimedia Signal Processing
and Security Lab
Saturday, 31-Jul-2010 21:08:50 CEST