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Overview of the Second Workshop on Medical Content–Based Retrieval for Clinical Decision Support

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 7075)

Abstract

The second workshop on Medical Content–Based Retrieval for Clinical Decision Support took place at the MICCAI conference in Toronto, Canada on September 22, 2011. The workshop brought together more than 40 registered researchers interested in the field of medical content–based retrieval. Eleven papers were accepted and presented at the workshop. Two invited speakers gave overviews on state–of–the–art academic research and industrial perspectives. The program was completed with a panel discussion on the role of content–based retrieval in clinical decision support. This overview introduces the main highlights and discussions in the workshop, summarizes the novelties and introduces the presented papers, which are provided in these proceedings.

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References

  1. Müller, H., Michoux, N., Bandon, D., Geissbuhler, A.: A review of content–based image retrieval systems in medicine–clinical benefits and future directions. International Journal of Medical Informatics 73(1), 1–23 (2004)

    Article  Google Scholar 

  2. Tagare, H.D., Jaffe, C., Duncan, J.: Medical image databases: A content–based retrieval approach. Journal of the American Medical Informatics Association 4(3), 184–198 (1997)

    Article  Google Scholar 

  3. Hersh, W., Müller, H., Kalpathy-Cramer, J., Kim, E., Zhou, X.: The consolidated ImageCLEFmed medical image retrieval task test collection. Journal of Digital Imaging 22(6), 648–655 (2009)

    Article  Google Scholar 

  4. Aisen, A.M., Broderick, L.S., Winer-Muram, H., Brodley, C.E., Kak, A.C., Pavlopoulou, C., Dy, J., Shyu, C.R., Marchiori, A.: Automated storage and retrieval of thin–section CT images to assist diagnosis: System description and preliminary assessment. Radiology 228(1), 265–270 (2003)

    Article  Google Scholar 

  5. Müller, H., Kalpathy–Cramer, J., Caputo, B., Syeda-Mahmood, T., Wang, F.: Overview of the First Workshop on Medical Content–Based Retrieval for Clinical Decision Support at MICCAI 2009. In: Caputo, B., Müller, H., Syeda-Mahmood, T., Duncan, J.S., Wang, F., Kalpathy-Cramer, J. (eds.) MCBR-CDS 2009. LNCS, vol. 5853, pp. 1–17. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  6. Müller, H., Clough, P., Deselaers, T., Caputo, B. (eds.): ImageCLEF – Experi-mental Evaluation in Visual Information Retrieval. The Springer International Series On Information Retrieval, vol. 32. Springer, Heidelberg (2010)

    MATH  Google Scholar 

  7. Müller, H., Deselaers, T., Kim, E., Kalpathy-Cramer, J., Deserno, T.M., Clough, P., Hersh, W.: Overview of the ImageCLEFmed 2007 medical retrieval and annotation tasks. In: Working Notes of the 2007 CLEF Workshop, Budapest, Hungary (September 2007)

    Google Scholar 

  8. Kalpathy-Cramer, J., Müller, H., Bedrick, S., Eggel, I., de Herrera, A.S., Tsikrika, T.: The CLEF 2011 medical image retrieval and classification tasks. In: Working Notes of CLEF 2011 (Cross Language Evaluation Forum) (September 2011)

    Google Scholar 

  9. André, B., Vercauteren, T., Ayache, N.: Content-Based Retrieval in Endomicroscopy: Toward an Efficient Smart Atlas for Clinical Diagnosis. In: Müller, H., Greenspan, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 12–23. Springer, Heidelberg (2011)

    Google Scholar 

  10. Burner, A., Donner, R., Mayerhoefer, M., Holzer, M., Kainberger, F., Langs, G.: Texture Bags: Anomaly Retrieval in Medical Images Based on Local 3D-Texture Similarity. In: Müller, H., Greenspan, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 116–127. Springer, Heidelberg (2011)

    Google Scholar 

  11. Foncubierta-Rodríguez, A., Depeursinge, A., Müller, H.: Using Multiscale Visual Words for Lung Texture Classification and Retrieval. In: Greenspan, H., Müller, H., Syeda Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 69–79. Springer, Heidelberg (2011)

    Google Scholar 

  12. Vanegas, J.A., Caicedo, J.C., González, F.A., Romero, E.: Histology Image Indexing using a Non–Negative Semantic Embedding. In: Greenspan, H., Müller, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 80–91. Springer, Heidelberg (2011)

    Google Scholar 

  13. Haas, S., Donner, R., Burner, A., Holzer, M., Langs, G.: Superpixel-Based Interest Points for Effective Bags of Visual Words Medical Image Retrieval. In: Greenspan, H., Müller, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 58–68. Springer, Heidelberg (2011)

    Google Scholar 

  14. Pauly, O., Mateus, D., Navab, N.: Building Implicit Dictionaries Based on Extreme Random Clustering for Modality Recognition. In: Greenspan, H., Müller, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 47–57. Springer, Heidelberg (2011)

    Google Scholar 

  15. Costa, M.J., Tsymbal, A., Hammon, M., Cavallaro, A., Sühling, M., Seifert, S., Comaniciu, D.: A Discriminative Distance Learning–Based CBIR Framework for Characterization of Indeterminate Liver Lesions. In: Greenspan, H., Müller, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 92–104. Springer, Heidelberg (2011)

    Google Scholar 

  16. Venkatraghavan, V., Ranjan, S.: Semantic Analysis of 3D Anatomical Medical Images for Sub–Image Retrieval. In: Greenspan, H., Müller, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 139–151. Springer, Heidelberg (2011)

    Google Scholar 

  17. Donner, R., Haas, S., Burner, A., Holzer, M., Bischof, H., Langs, G.: Evaluation of fast 2D and 3D Medical Image Retrieval Approaches Based on Image Miniatures. In: Greenspan, H., Müller, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 128–138. Springer, Heidelberg (2011)

    Google Scholar 

  18. Avni, U., Greenspan, H., Konen, E., Sharon, M., Goldberger, J.: X–ray categorization and retrieval on the organ and pathology level, using patch–based visual words. IEEE Transactions on Medical Imaging 30(3), 733–746 (2011)

    Article  Google Scholar 

  19. Rahman, M.M., Antani, S.K., Fushman, D.D., Thoma, G.R.: Biomedical Image Retrieval using Multimodal Context and Concept Feature Spaces. In: Greenspan, H., Müller, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 24–35. Springer, Heidelberg (2011)

    Google Scholar 

  20. Vercauteren, T., Perchant, A., Malandain, G., Pennec, X., Ayache, N.: Robust mosaicing with correction of motion distortions and tissue deformations for in vivo fibered microscopy. Medical Image Analysis 10(5), 673–692 (2006)

    Article  Google Scholar 

  21. Sivic, J., Zisserman, A.: Video Google: Efficient Visual Search of Videos. In: Ponce, J., Hebert, M., Schmid, C., Zisserman, A. (eds.) Toward Category-Level Object Recognition. LNCS, vol. 4170, pp. 127–144. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  22. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2), 91–110 (2004)

    Article  Google Scholar 

  23. Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray–scale and rotation invariant texture classification with local binary patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(7), 971–987 (2002)

    Article  MATH  Google Scholar 

  24. Wildenauer, H., Mičušík, B., Vincze, M.: Efficient Texture Representation Using Multi-Scale Regions. In: Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds.) ACCV 2007, Part I. LNCS, vol. 4843, pp. 65–74. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  25. Ling, H., Okada, K.: Diffusion distance for histogram comparison. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 246–253 (June 2006)

    Google Scholar 

  26. Breiman, L.: Random forests. Machine Learning 45(1), 5–32 (2001)

    Article  MATH  Google Scholar 

  27. Safi, A., Baust, M., Pauly, O., Castaneda, V., Lasser, T., Mateus, D., Navab, N., Hein, R., Ziai, M.: Computer–Aided Diagnosis of Pigmented Skin Dermoscopic Images. In: Greenspan, H., Müller, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 105–115. Springer, Heidelberg (2011)

    Google Scholar 

  28. Li, F., Shen, C., Li, C.: Multiphase soft segmentation with total variation and H1 regularization. Journal of Mathematical Imaging and Vision 37(2), 98–111 (2010)

    Article  Google Scholar 

  29. Cichocki, A., Zdunek, R., Amari, S.: New algorithms for non–negative matrix factorization in applications to blind source separation. In: 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 Proceedings, vol. 5, pp. 621–624 (May 2006)

    Google Scholar 

  30. Müller, H., Kalpathy-Cramer, J., Eggel, I., Bedrick, S., Said, R., Bakke, B., Kahn Jr, C.E., Hersh, W.: Overview of the CLEF 2010 medical image retrieval track. In: Working Notes of CLEF 2010 (Cross Language Evaluation Forum) (September 2010)

    Google Scholar 

  31. Baeza Yates, R.A., Neto, B.R.: Modern Information Retrieval. Addison-Wesley Longman Publishing Co., Inc., Boston (1999)

    Google Scholar 

  32. Tommasi, T., Caputo, B., Welter, P., Güld, M.O., Deserno, T.M.: Overview of the CLEF 2009 Medical Image Annotation Track. In: Peters, C., Caputo, B., Gonzalo, J., Jones, G.J.F., Kalpathy-Cramer, J., Müller, H., Tsikrika, T. (eds.) CLEF 2009. LNCS, vol. 6242, pp. 85–93. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  33. Bay, H., Ess, A., Tuytelaars, T., Gool, L.V.: Speeded–up robust features (surf). Computer Vision and Image Understanding 110(3), 346–359 (2008)

    Article  Google Scholar 

  34. Sevilla, L., Learned-Miller, E.: Distribution fields. Technical Report UM–CS–2011–027, Dept. of Computer Science, University of Massachusetts Amherst (2011)

    Google Scholar 

  35. Özuysal, M., Calonder, M., Lepetit, V., Fua, P.: Fast keypoint recognition using random ferns. IEEE Transactions on Pattern Analysis and Machine Intelligence 32, 448–461 (2010)

    Article  Google Scholar 

  36. Mata, J., Crespo, M., Maña, M.J.: Using MeSH to Expand Queries in Medical Image Retrieval. In: Greenspan, H., Müller, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 36–46. Springer, Heidelberg (2011)

    Google Scholar 

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Depeursinge, A., Greenspan, H., Syeda, T., Müller, H. (2012). Overview of the Second Workshop on Medical Content–Based Retrieval for Clinical Decision Support. In: Müller, H., Greenspan, H., Syeda-Mahmood, T. (eds) Medical Content-Based Retrieval for Clinical Decision Support. MCBR-CDS 2011. Lecture Notes in Computer Science, vol 7075. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28460-1_1

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  • DOI: https://doi.org/10.1007/978-3-642-28460-1_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28459-5

  • Online ISBN: 978-3-642-28460-1

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