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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.
   

Towards more reliability and less invasiveness in celiac disease diagnosis: Computer-aided detection and assessment of affected mucosa in endoscopic videos (CeliacVideo)

 

Project Description:

CeliacVideo (FWF KLI project 429) is a joint project led by Andreas Vecsei from the St. Anna Children's Hospital in Vienna, where we have the role of a national research partner. Celiac disease (CD) has a prevalence of 1%. To confirm the diagnosis, in children with serologically suspected CD until recently small bowel biopsy was recommended. To avoid biopsies but still reliably prove the diagnosis, a variety of new endoscopic techniques including software for the analysis of endoscopic still images has been developed. If automated analysis-software can detect villous atrophy not only in endoscopic still images but in video clips as well, in such cases, a small bowel biopsy could entirely be avoided. The main question we will try to assess is, if such software can be developed and easily integrated into the routine of pediatric endoscopy. Furthermore, we will examine if the narrow band imaging technique, an optical/digital chromoendoscopy, can further improve the reliability of automated analysis. Various feature extraction and classification strategies will be applied for automated differentiation between presence and absence of villous atrophy in the endoscopic video clips.

 
 

Members:

 
 

Timeframe:

  • Jan 2015 - Dec 2016
 
 

Publications:

  1. [Gadermayr17a ] Degradation adaptive texture classification for real-world application scenarios Michael Gadermayr, Dorit Merhof, Andreas Vecsei, Andreas Uhl Pattern Recognition and Image Analysis 27:1, pp. 66-81, 2017
  2. [Wimmer16e ] CNN Transfer Learning for the Automated Diagnosis of Celiac Disease (Best Reviewed Papers Session) G. Wimmer, A. Vécsei, A. Uhl In Proceedings of the sixth International Conference on Image Processing Theory, Tools and Applications (IPTA'16), pp. 6 pages, 2016
  3. [Wimmer16b ] Convolutional Neural Network Architectures for the Automated Diagnosis of Celiac Disease G. Wimmer, A. Vecsei, A. Uhl In Proceedings of the 3rd International Workshop on Computer-Assisted and Robotic Endoscopy (CARE), pp. 104-113, Springer LNCS, 10170, 2016
  4. [Gadermayr16c  ] Computer-aided texture analysis combined with experts' knowledge: Improving endoscopic celiac disease diagnosis Michael Gadermayr, Hubert Kogler, Maximilian Karla, Dorit Merhof, Andreas Uhl, Andreas Vecsei World Journal of Gastroenterology 22:31, pp. 7124-7134, 2016
  5. [Gadermayr16d ] Incorporating Human Knowledge in Automated Celiac Disease Diagnosis Michael Gadermayr, Hubert Kogler, Maximilian Karla, Andreas Vecsei, Andreas Uhl, Dorit Merhof In Proceedings of the sixth International Conference on Image Processing Theory, Tools and Applications (IPTA'16), pp. 6 pages, 2016
  6. [Liedlgruber16b ] Texture description using Dual Tree Complex Wavelet Packets M. Liedlgruber, M. Häfner, J. Hämmerle-Uhl, A. Uhl In Advances in Multimedia Information Processing -- Proceedings of the 17th Pacific-Rim Conference on Multimedia (PCM'16), pp. 181-190, Xi'an, China, Springer LNCS, 9916, September 15 - September 16
  7. [Gadermayr15e ] Fully Automated Decision Support Systems for Celiac Disease Diagnosis Michael Gadermayr, Andreas Uhl, Andreas Vécsei Innovation and Research in BioMedical Engineering (IRBM, Special Issue on Medical Image Analysis for Computer Aided Diagnosis) 37:1, pp. 31-39, 2016
  8. [Ribeiro16a  ] Colonic Polyp Classification with Convolutional Neural Networks Eduardo Ribeiro, Andreas Uhl, Michael Häfner In Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems (CBMS'16), pp. 253-258, June 2016
  9. [Gadermayr16a ] Narrow Band Imaging Versus White-Light: What is best for Computer-Assisted Diagnosis of Celiac Disease? M. Gadermayr, S. Hegenbart, R. Kwitt, A. Uhl In Proc. of the 13th IEEE International Symposium on Biomedical Imaging (ISBI'16), pp. 355-359, Prague, Czech Republic, April 2016
  10. [Hegenbart15a  ] Survey on computer aided decision support for diagnosis of celiac disease Sebastian Hegenbart, Andreas Uhl, Andreas Vécsei Computers in Biology and Medicine 65, pp. 348-358, Elsevier, 2015, http://dx.doi.org/10.1016/j.compbiomed.2015.02.007
  11. [Gadermayr15b  ] Boosting Small-Data Performance of LBP: A Case Study in Celiac Disease Diagnosis Michael Gadermayr, Andreas Uhl, Andreas Vécsei In Proceedings of the 19th Scandinavian Conference on Image Analysis (SCIA'15), pp. 224-233, Springer LNCS, 9127, 2015
  12. [Gadermayr15d  ] Comparing Endoscopic Imaging Configurations in Computer-Aided Celiac Disease Diagnosis Michael Gadermayr, Hubert Kogler, Andreas Uhl, Andreas Vécsei In Proceedings of the 5th IEEE International Conference on Image Processing Theory, Tools and Applications 2015 (IPTA'15), pp. 446-451, Nov. 2015
  13. [Gadermayr15a  ] Dealing with Intra-Class and Intra-Image Variations in Automatic Celiac Disease Diagnosis Michael Gadermayr, Andreas Uhl, Andreas Vécsei In Proceedings of Bildverarbeitung für die Medizin 2015 (BVM'15), pp. 461-466, March 2015