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Dense Simple Features for Fast and Accurate Medical X-Ray Annotation

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Book cover Multilingual Information Access Evaluation II. Multimedia Experiments (CLEF 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6242))

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Abstract

We present a simple, fast and accurate image categorization system, applied to medical image databases within the ImageCLEF 2009 medical annotation task. The methodology presented is based on local representation of the image content, using a bag of visual words approach in multiple scales, with a kernel based SVM classifier. The system was ranked first in this challenge, with total error score of 852.8.

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References

  1. Varma, M., Zisserman, A.: Texture classification: are filter banks necessary? In: CVPR, vol. 2, pp. 691–698 (2003)

    Google Scholar 

  2. Fei-Fei, L., Perona, P.: A bayesian hierarchical model for learning natural scene categories. In: CVPR, vol. 2, pp. 524–531 (2005)

    Google Scholar 

  3. Nowak, E., Jurie, F., Triggs, B.: Sampling strategies for bag-of-features image classification. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3954, pp. 490–503. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  4. Tommasi, T., Caputo, B., Welter, P., Deserno, T.M.: Overview of the CLEF 2009 medical image annotation track. In: CLEF Working Notes (2009), http://www.clef-campaign.org/2009/working_notes

  5. Deselaers, T., Deserno, T.M.: Medical image annotation in ImageCLEF 2008. In: Peters, C., Deselaers, T., Ferro, N., Gonzalo, J., Jones, G.J.F., Kurimo, M., Mandl, T., Peñas, A., Petras, V. (eds.) CLEF 2008. LNCS, vol. 5706, pp. 523–530. Springer, Heidelberg (2009)

    Google Scholar 

  6. Deselaers, T., Hegerath, A., Keysers, D., Ney, H.: Sparse patch-histograms for object classification in cluttered images. In: Franke, K., Müller, K.-R., Nickolay, B., Schäfer, R. (eds.) DAGM 2006. LNCS, vol. 4174, pp. 202–211. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  7. Tommasi, T., Orabona, F., Caputo, B.: Discriminative cue integration for medical image annotation. Pattern Recogn. Lett. 29(15), 1996–2002 (2008)

    Article  Google Scholar 

  8. Lowe, D.G.: Object recognition from local scale-invariant features. In: ICCV, vol. 2, pp. 1150–1157 (1999)

    Google Scholar 

  9. Zhang, J., Marszalek, M., Lazebnik, S., Schmid, C.: Local features and kernels for classification of texture and object categories: A comprehensive study. Int. J. Comput. Vision 73(2), 213–238 (2007)

    Article  Google Scholar 

  10. Barla, A., Odone, F., Verri, A.: Histogram intersection kernel for image classification. In: ICIP, vol. 3 (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. BioMedical Engineering, Tel-Aviv University,  

    Uri Avni & Hayit Greenspan

  2. Engineering School, Bar-Ilan University,  

    Jacob Goldberger

Authors
  1. Uri Avni
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  2. Hayit Greenspan
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  3. Jacob Goldberger
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Editor information

Editors and Affiliations

  1. ISTI-CNR, Area Ricerca CNR, Via Moruzzi, 1, 56124, Pisa, Italy

    Carol Peters

  2. Idiap Research Institute, Rue Marconi 19, 1920, Martigny, Switzerland

    Barbara Caputo

  3. LSI-UNED, Juan del Rosal, 16, 28040, Madrid, Spain

    Julio Gonzalo

  4. Centre for Digital Video Processing, School of Computing, Dublin City University, Dublin 9, Ireland

    Gareth J. F. Jones

  5. Oregon Health and Science University, 3181 SW Sam Jackson Park Road, 97239-3098, Portland, OR, USA

    Jayashree Kalpathy-Cramer

  6. University of Applied Sciences Western Switzerland, TechnoArk 3, 3960, Sierre, Switzerland

    Henning Müller

  7. Centrum Wiskunde and Infoormatica, Science Park 123, 1098, Amsterdam, XG, The Netherlands

    Theodora Tsikrika

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Avni, U., Greenspan, H., Goldberger, J. (2010). Dense Simple Features for Fast and Accurate Medical X-Ray Annotation. In: Peters, C., et al. Multilingual Information Access Evaluation II. Multimedia Experiments. CLEF 2009. Lecture Notes in Computer Science, vol 6242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15751-6_29

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  • DOI: https://doi.org/10.1007/978-3-642-15751-6_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15750-9

  • Online ISBN: 978-3-642-15751-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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