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Image Analysis in Clinical Decision Support System

Chapter
Part of the Intelligent Systems Reference Library book series (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.

Keywords

Medical images processing Clinical decision support system Multispectral images processing Image color analysis Texture analysis Classification 

Notes

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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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Saint Petersburg State Electrotechnical University “LETI”Saint-PetersburgRussian Federation

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