Skip to main content

Access Modalities to an Imagistic Library for Medical e-Learning

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5173))

Abstract

The paper presents the organization way and the access facilities to a multimedia digital library with medical information for electronic learning. The digital library contains course materials and medical images collected in the patient’s diagnosis process. The originality of the paper is given by the presentation of two access modalities to multimedia information from the digital library: content-based visual query and semantic query. The content-based visual query can be effectuated at the image or region level using colour and texture characteristics automatically extracted from medical images at their loading in the database. Also, semantic queries against the multimedia database can be automatically launched with the help of the topic map based on a part of MeSH thesaurus, the part that includes the medical diagnosis names. The student can navigate through topic map depending on its interest subject, bringing in this way big advantages. These access paths can be combined for retrieving the interest information. The multimedia digital library represents a very useful tool in the medical knowledge improvement, addressing to the students, resident doctors, young specialists or family doctors.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   99.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   129.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. National Library of Medicine, Medical Subject Headings, MeSH Tree Structures, http://www.nlm.nih.gov/mesh/2008/MeSHtree.C.html

  2. Rath, H.: The Topic Maps Handbook, Empolis GmbH, Gutersloh, Germany (2003)

    Google Scholar 

  3. TopicMaps. Org, http://www.topicmaps.org/

  4. Dicheva, D., Dichev, C., Dandan, W.: Visualizing topic maps for e-learning. In: Advanced Learning Technologies, ICALT, pp. 950–951 (2005)

    Google Scholar 

  5. Dichev, C., Dicheva, D.: Using Contexts to Personalize Educational Topic Maps. In: Wade, V.P., Ashman, H., Smyth, B. (eds.) AH 2006. LNCS, vol. 4018, pp. 269–273. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  6. Smith, J.R.: Integrated Spatial and Feature Image Systems: Retrieval, Compression and Analysis. Ph.D. thesis, Graduate School of Arts and Sciences, Columbia University (1997)

    Google Scholar 

  7. Palm, C., Keysers, D., Lehmann, T., Spitzer, K.: Gabor Filtering of Complex Hue/Saturation Images For Color Texture Classification. In: Proc. JCIS 2000, pp. 45–49 (2000)

    Google Scholar 

  8. Muller, H., Michoux, N., Bandon, D., Geissbuhler, A.: A Review of Content_based Image Retrieval Systems in Medical Application – Clinical Benefits and Future Directions. Int. J. Med. Inform. 73(1), 1–23 (2004)

    Article  Google Scholar 

  9. Zhang, D., Wong, A., Infrawan, M., Lu, G.: Content-Based Image Retrieval Using Gabor Texture Features. In: Proc. IEEE Pacific-Rim Conference on Multimedia, pp. 392–395 (2000)

    Google Scholar 

  10. Del Bimbo, A.: Visual Information Retrieval. Morgan Kaufmann Publishers, San Francisco (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Birte Christensen-Dalsgaard Donatella Castelli Bolette Ammitzbøll Jurik Joan Lippincott

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Stanescu, L., Burdescu, D., Gabriel, M., Stoica, C., Ion, A. (2008). Access Modalities to an Imagistic Library for Medical e-Learning. In: Christensen-Dalsgaard, B., Castelli, D., Ammitzbøll Jurik, B., Lippincott, J. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2008. Lecture Notes in Computer Science, vol 5173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87599-4_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-87599-4_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87598-7

  • Online ISBN: 978-3-540-87599-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics