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Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 pp 579–587Cite as

Annotation System for Medical Domain

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 87))

Abstract

Automatic image annotation is the process of assigning meaningful words to an image taking into account its content. This process is of great interest as it allows indexing, retrieving, and understanding of large collections of image data. This paper presents an original image annotation system used in the medical domain. The annotation model used was inspired from the principles defined for Cross Media Relevance Model. The ontology used by the annotation process was created in an original manner starting from the information content provided by the Medical Subject Headings (MeSH).

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Author information

Authors and Affiliations

  1. Faculty of Automation, Computers and Electronics, University of Craiova, Bvd. Decebal, No.107, Craiova, Romania

    Cristian Gabriel Mihai, Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan, Cosmin Stoica Spahiu & Eugen Ganea

Authors
  1. Cristian Gabriel Mihai
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  2. Liana Stanescu
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  3. Dumitru Dan Burdescu
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  4. Marius Brezovan
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  5. Cosmin Stoica Spahiu
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  6. Eugen Ganea
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Editor information

Editors and Affiliations

  1. Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Emilio Corchado

  2. VŠB-TU Ostrava, 17. listopadu 15, 70833, Ostrava, Czech Republic

    Václav Snášel

  3. University of Burgos, Avenida Cantaria S/N, 09006, Burgos, Spain

    Javier Sedano

  4. Cairo University, 5 Ahmed Zewal St., Orman, Cairo, Egypt

    Aboul Ella Hassanien

  5. University of La Coruña, Avda. 19 de Febrero, S/N, A Coruña,, 15403, Ferrol, Spain

    José Luis Calvo

  6. Infobright, 47 Colborne Street, Suite 403, M5E1P8, Toronto, Ontario, Canada

    Dominik Ślȩzak

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Mihai, C.G., Stanescu, L., Burdescu, D.D., Brezovan, M., Spahiu, C.S., Ganea, E. (2011). Annotation System for Medical Domain. In: Corchado, E., Snášel, V., Sedano, J., Hassanien, A.E., Calvo, J.L., Ślȩzak, D. (eds) Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. Advances in Intelligent and Soft Computing, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19644-7_61

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  • DOI: https://doi.org/10.1007/978-3-642-19644-7_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19643-0

  • Online ISBN: 978-3-642-19644-7

  • eBook Packages: EngineeringEngineering (R0)

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