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Asia Information Retrieval Symposium

AIRS 2014: Information Retrieval Technology pp 14–23Cite as

Content-Based Medical Image Retrieval System for Infections and Fluids in Chest Radiographs

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8870))

Abstract

This paper presents a retrieval system based on the image’s content for the application in medical domain. This system is aimed to assist the radiologists in healthcare by providing pertinent supporting evidence from previous cases. It is also useful for the junior radiologists and medical students as teaching aid and training mechanism. The system is tested to retrieve the infections and fluid cases in chest radiographs. We explored several feature extraction techniques to see their effectiveness in describing the low-level property of the radiographs in our dataset. These features are Gabor transform, Discrete Wavelet Frame and Grey Level Histogram. The retrieval of these cases was also experimented with a number of distance metrics to observe their performances. Promising measures based on recognition rate are reported.

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Author information

Authors and Affiliations

  1. Faculty of Engineering, Multimedia University, Malaysia

    Wan Siti Halimatul Munirah Wan Ahmad, Mohammad Faizal Ahmad Fauzi & Tan Wooi Haw

  2. Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Malaysia

    W Mimi Diyana W Zaki

Authors
  1. Wan Siti Halimatul Munirah Wan Ahmad
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  2. W Mimi Diyana W Zaki
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  3. Mohammad Faizal Ahmad Fauzi
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  4. Tan Wooi Haw
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Editor information

Editors and Affiliations

  1. Institute of Visual Informatic, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Azizah Jaafar

  2. Institute of Visual Informatics, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Nazlena Mohamad Ali

  3. Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Shahrul Azman Mohd Noah

  4. Insight Centre for Data Analytics, Dublin City University, Glasnevin, 9, Dublin, Ireland

    Alan F. Smeaton

  5. Information Systems, Queensland University of Technology, 4001, Brisbane, QLD, Australia

    Peter Bruza

  6. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia

    Zainab Abu Bakar  & Nursuriati Jamil  & 

  7. Cyber Security Center, Universiti Pertahanan Nasional Malaysia, Kem Sungai Besi, 57000, Kuala Lumpur, Malaysia

    Tengku Mohd Tengku Sembok

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Wan Ahmad, W.S.H.M., W Zaki, W.M.D., Ahmad Fauzi, M.F., Haw, T.W. (2014). Content-Based Medical Image Retrieval System for Infections and Fluids in Chest Radiographs. In: Jaafar, A., et al. Information Retrieval Technology. AIRS 2014. Lecture Notes in Computer Science, vol 8870. Springer, Cham. https://doi.org/10.1007/978-3-319-12844-3_2

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  • DOI: https://doi.org/10.1007/978-3-319-12844-3_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12843-6

  • Online ISBN: 978-3-319-12844-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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