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| Computer-assisted Pit Pattern Analysis of Colonic Lesion (EndoPit)
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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.
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Members:
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Timeframe:
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Publications:
- [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
- [Haefner11a
] M. Häfner, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba, "Color Treatment in Endoscopic Image Classification using Multi-scale Local Color Vector Patterns", Medical Image Analysis 16:1, pp. 75-86, Jan. 2012
- [Kwitt11c] R. Kwitt, N. Rasiwasia, N. Vasconcelos, A. Uhl, M. Häfner, F. Wrba, "Learning Pit Pattern Concepts for Gastroenterological Training", In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '11), pp. 280-287, Toronto, Canada, LNCS 6893, 2011
- [Liedlgruber11e
] Michael Liedlgruber, Andreas Uhl, "Computer-aided Decision Support Systems for Endoscopy in the Gastrointestinal Tract: A Review", IEEE Reviews in Biomedical Engineering, 2011, in press
- [Liedlgruber11c
] M. Liedlgruber, A. Uhl, "A Summary of Research Targeted at Computer-Aided Decision Support in Endoscopy of the Gastrointestinal Tract", Department of Computer Sciences, University of Salzburg, Austria, http://www.cosy.sbg.ac.at/research/tr.html, Technical Report 2011-01, 2011
- [Liedlgruber11a
] Michael Liedlgruber, Andreas Uhl, "Predicting Pathology in Medical Decision Support Systems in Endoscopy of the Gastrointestinal Tract", In Chiang Jao, editor, Efficient Decision Support Systems -- Practice and Challenges in Biomedical Related Domain, pp. 195-214, Rijeka, Croatia, InTech, 2011
- [Kwitt11b
] Roland Kwitt, Peter Meerwald, Andreas Uhl, Geert Verdoolaege, "Testing a Multivariate Model for Wavelet Coefficients", In Proceedings of the IEEE International Conference on Image Processing (ICIP '11), pp. 1277-1280, Brussels, Belgium, September 11 - 14, 2011
- [Haefner10b] M. Häfner, L. Brunauer, H. Payer, R. Resch, A. Gangl, A. Uhl, A. Vécsei, F. Wrba, "Computer-aided Classification of Zoom-Endoscopical Images using Fourier Filters", IEEE Transactions on Information Technology in Biomedicine 14:4, pp. 958-970, 2010
- [Uhl10a] A. Häfner, A. Uhl, A. Vécsei, G. Wimmer, F. Wrba, "Complex Wavelet Transform Variants and Scale Invariance in Magnification-Endoscopy Image Classification", In Proceedings of the 10th International Conference on Information Technology and Applications in Biomedicine (ITAB'10), Corfu, Greece, November 3 - 5, 2010
- [Haefner10c
] M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba, "Endoscopic Image Classification using Edge-Based Features", In Proceedings of the 20th International Conference on Pattern Recognition (ICPR'10), pp. 2724-2727, Istanbul, Turkey, Aug. 2010
- [Haefner10a
] M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, 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), pp. 131-140, Povoa de Varzim, Portugal, Springer LNCS, 6112, June 2010
- [Kwitt09g
] R. Kwitt, A. Uhl, "Lightweight Probabilistic Image Retrieval", IEEE Transactions on Image Processing 19:1, pp. 241-253, Jan. 2010
- [Haefner09a
] M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, 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
- [Haefner09b
] M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, 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
- [Kwitt09c
] M. Häfner, A. Gangl, R. Kwitt, A. Uhl, A. Vécsei, 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
- [Haefner09c
] M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, 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
- [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
- [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
- [Haefner07c] M. Häfner, C. Kastinger, H.P. Schmidt, K. Thonhauser, F. Wrba, A. Gangl, A. Vécsei, A. Uhl, "Comparison of k-NN, SVM, and NN in Pit Pattern Classification of Zoom-Endoscopic Colon Images using Co-Occurrence Histograms", 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
- [Haefner07b] M. Häfner, L. Brunauer, H. Payer, R. Resch, F. Wrba, A. Gangl, A. Vécsei, A. Uhl, "Pit pattern classification of zoom-endoscopical colon images using evolved Fourier feature vectors", 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
- [Haefner07a] M. Häfner, L. Brunauer, H. Payer, R. Resch, F. Wrba, A. Gangl, A. Vécsei, A. Uhl, "Pit pattern classification of zoom-endoscopic colon images using DCT and FFT", 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
- [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
- [Haefner06b] M. Häfner, C. Kendlbacher, W. Mann, W. Taferl, F. Wrba, A. Gangl, A. Vécsei, A. Uhl, "Pit pattern classification of zoom-endoscopic colon images using histogram techniques", In Johannes R. Sveinsson, editor, Proceedings of the 7th Nordic Signal Processing Symposium (NORSIG 2006), pp. 58-61, Reykjavik, Iceland, June 2006
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