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Published in:
Innovative Algorithms in Computer Vision Read chapter Read first chapter

2018 | OriginalPaper | Chapter

10. Image Analysis in Clinical Decision Support System

Authors : Natalia Obukhova, Alexandr Motyko

Published in: Computer Vision in Control Systems-4

Publisher: Springer International Publishing

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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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previous chapter Techniques for Medical Images Processing Using Shearlet Transform and Color Coding
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Metadata
Title
Image Analysis in Clinical Decision Support System
Authors
Natalia Obukhova
Alexandr Motyko
Copyright Year
2018
Book
Computer Vision in Control Systems-4

Print ISBN: 978-3-319-67993-8

Electronic ISBN: 978-3-319-67994-5

Copyright Year: 2018

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

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