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International Conference on Advances in Visual Information Systems

VISUAL 2000: Advances in Visual Information Systems pp 384–395Cite as

An Iconic and Semantic Content Based Retrieval System for Histological Images

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1929))

Abstract

This paper describes an intelligent image retrieval system based on iconic and semantic content of histological images. The system first divides an image into a set of subimages. Then the iconic features are derived from primitive features of color histogram, texture and second order statistics of the subimages. These features are then passed to a high level semantic reasoning engine, which generates hypotheses and requests a number of specific fine feature detectors for verification. After iterating a certain number of cycles, a final histological label map is decided for the submitted image. The system may then retrieve images based on either iconic or semantic content. Annotation is also generated for each image processed.

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References

  1. W. W. Chu, C. C. Hsu, A. F. Cardenas and R. K. Taira, “Knowledge-Based Image Retrieval with Spatial and Temporal Constructs”, IEEE Transactions on Knowledge & Data Eng., vol. 10, no.6, pp. 872–888, 1998.

    Article  Google Scholar 

  2. E. G. M. Petrakis and C. Faloutsos, “Similarity Searching in Medical Image Databases”, IEEE Transactions on Knowledge & Data Eng., vol. 9, no.3, pp.435–447, 1997.

    Article  Google Scholar 

  3. P. Korn, N. Sidiropoulos, C. Faloutsos, E. Siegel and Z. Protopapas, “Fast Effective Retrieval of Medical Tumor Shapes”, IEEE Transactions on Knowledge and Data Engineering, vol. 10, no.6, pp.889–904, 1998.

    Article  Google Scholar 

  4. T. Y. Hou, P. Liu, A. Hsu and M. Y. Chiu, “Medical Image Retrieval by Spatial Features”, IEEE Inter. Conf. Systems, Man and Cybernetics, vol.2, pp.1364–1369, 1992.

    Google Scholar 

  5. P. W. Hamilton, P. H. Bartels, D. Thompson, N. H. Anderson, R. Montironi and J. M. Sloan, “Automated Location of Dysplastic Fields in Colorectal histology Using Image Texture Analysis”, Journal of Pathology, vol. 182, pp. 68–75, 1997

    Article  Google Scholar 

  6. C. R. Shyu, C. E. Brodley, A. C. Kak, A. Kosaka, A. Aisen and L. Broderick, “Local versus Global Features for Content-Based Image Retrieval”, Proc. of IEEE Workshop Content Based Access of Image and Video Libraries, pp. 30–34, 1998.

    Google Scholar 

  7. A. K. Jain and F. Farrokhnia, “Unsupervised Texture Segmentation Using Gabor Filters”, Pattern Recognition, vol.24, no.12, pp. 1167–1186, 1991.

    Article  Google Scholar 

  8. A. K. Jain, Fundamentals of Digital Image Processing, Prentice-Hall: Englewood Cliffs, 1989.

    MATH  Google Scholar 

  9. L. H. Y. Tang, R. Hanka, R. Lam, H. H. S. Ip, “Automatic Semantic Labelling of Medical Images for Content-Based Retrieval”, Proceedings of Expersys’98, pp. 77–82, USA, 1998.

    Google Scholar 

  10. L. H. Y. Tang, R. Hanka, H. H. S. Ip, R.. Lam,“Extraction of Semantic Features of Histological Images for Content-Based Retrieval of Images”, Proceedings of SPIE Medical Imaging’ 99, vol. 3662, pp. 360–368, USA, 1999.

    Article  Google Scholar 

  11. L. H. Y. Tang, R. Hanka, H. H. S. Ip, “A Review of Intelligent Content-Based Indexing and Browsing of Medical Images”, Health Informatics Journal, vol. 5, no.1, pp. 40–49, March 1999.

    Google Scholar 

  12. K. K. T. Chueng, R. W. K. Lam, H. H. S. Ip, L. H. Y. Tang and R. Hanka, “Software Framework for Combining Iconic and Semantic Content for Intelligent Retrieval of Histological Images”, published in Visual’2000.

    Google Scholar 

  13. R. W. K. Lam, H. H. S. Ip, K. K. T. Cheung, L. H. Y. Tang and R. Hanka, “A Multi-Window Approach To Classify Histological Features”, published in ICPR’2000.

    Google Scholar 

  14. A. Wetzel and M. J. Becich, “Content Based Image Retrieval and pathology Image Classification Image Processing,” http://www.psc.edu/research/abstracts/becich.html, 1998.

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Author information

Authors and Affiliations

  1. Image Computing Group, Computer Science, City University of Hong Kong, HK

    Ringo W. K. Lam, Kent K. T. Cheung & Horace H. S. Ip

  2. Medical Informatics Unit, Medical School, University of Cambridge, UK

    Lilian H. Y. Tang & R. Hanka

Authors
  1. Ringo W. K. Lam
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  2. Kent K. T. Cheung
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  3. Horace H. S. Ip
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  4. Lilian H. Y. Tang
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  5. R. Hanka
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Editor information

Editors and Affiliations

  1. Claude Bernard University of Lyon, LISI - 502, INSA de Lyon, 69621, Villeurbanne Cedex, France

    Robert Laurini

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© 2000 Springer-Verlag Berlin Heidelberg

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Cite this paper

Lam, R.W.K., Cheung, K.K.T., Ip, H.H.S., Tang, L.H.Y., Hanka, R. (2000). An Iconic and Semantic Content Based Retrieval System for Histological Images. In: Laurini, R. (eds) Advances in Visual Information Systems. VISUAL 2000. Lecture Notes in Computer Science, vol 1929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40053-2_34

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  • DOI: https://doi.org/10.1007/3-540-40053-2_34

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41177-2

  • Online ISBN: 978-3-540-40053-0

  • eBook Packages: Springer Book Archive

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