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Image Analysis in Clinical Decision Support System

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Computer Vision in Control Systems-4

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 136))

Abstract

In this chapter, the methods of medical image processing and analysis in Clinical Decision Support Systems (CDSS) are discussed. The main principles of image analysis with the aim of differential diagnostics in the CDSS are determined. The implementation is given through the method of multispectral images automatic processing and analysis for TV system of cervix oncological changes diagnostics. The method provides differential diagnostics of the following changes in cervical tissues as Norm, Chronic Nonspecific Inflammation (CNI), Cervical Intraepithelial Neoplasia in various types of oncological changes (CIN I, CIN II, CIN III). In proposed method, images of different type (fluorescent images and images obtained in white light illumination) are analyzed. The decision rules in the classification task are based on data mining methods. For the border CIN/CNI sensitivity 87% and specificity 75% are achieved. The detail description of main steps is given in the chapter.

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Acknowledgements

Seoul Metropolitan Government and its Seoul Development Institute shall support and provide funds WR100001 for RSS in the frameworks of the Program for International Joint Research “Inviting & Supporting Project of Global Leading Institutions”, a part of the Seoul Research & Business Development Support Program and Russian Foundation for Basic Research, grant № 17-07-00045.

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Authors and Affiliations

  1. Saint Petersburg State Electrotechnical University “LETI”, Professora Popova Str. 5, Saint-Petersburg, 197022, Russian Federation

    Natalia Obukhova & Alexandr Motyko

Authors
  1. Natalia Obukhova
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  2. Alexandr Motyko
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Correspondence to Natalia Obukhova .

Editor information

Editors and Affiliations

  1. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  2. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Obukhova, N., Motyko, A. (2018). Image Analysis in Clinical Decision Support System. In: Favorskaya, M., Jain, L. (eds) Computer Vision in Control Systems-4. Intelligent Systems Reference Library, vol 136. Springer, Cham. https://doi.org/10.1007/978-3-319-67994-5_10

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  • DOI: https://doi.org/10.1007/978-3-319-67994-5_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67993-8

  • Online ISBN: 978-3-319-67994-5

  • eBook Packages: EngineeringEngineering (R0)

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