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Algorithms for Markers Detection on Facies Images of Human Biological Fluids in Medical Diagnostics

  • Victor KrasheninnikovEmail author
  • Larisa Trubnikova
  • Anna Yashina
  • Marina Albutova
  • Olga Malenova
Chapter
  • 13 Downloads
Part of the Intelligent Systems Reference Library book series (ISRL, volume 182)

Abstract

The precise diagnostics of different diseases is very important for their treatment. It is particularly important to differentiate the disease on the early stages when the pathological alterations have not yet caused great harm to the whole organism, since this allows using a greater number of therapies and increase the recovery probability. One of the methods of early diagnostics is based on the examination of human biological liquids (blood, tears, cervical mucus, urine, etc.). A small drop of a liquid is drawn on an object-plate and dried out slowly. Thus, a thin dry film (facies) remains. There appear characteristic patterns (markers) on the facies in the process of fluid crystallization. Each marker is a highly definite sign of some pathology even at an early stage of a disease development. It is necessary to analyze a large number of images when mass population health examination is carried out. Due to this reason, the problem of algorithm and software development for automated processing of images is rather urgent nowadays. The algorithms for detecting several markers on images of facies are presented in this chapter. First, the characteristic features (location, geometry, brightness, variation, spectrum, etc.) are revealed by means of their visual analysis of markers. Then, the methods of algorithmic detection of these features are developed. The decision about the presence of the marker is made in case a set of its necessary characteristics presents. The tests of algorithms have showed that correctly identified images with different markers are 86–98%.

Keywords

Medical diagnostic Biological fluid Facies Marker Detection Recognition Algorithm 

Notes

Acknowledgements

The reported study was funded by the Russian Fund for Basic Researches according to the research projects № 20-01-00613.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Victor Krasheninnikov
    • 1
    Email author
  • Larisa Trubnikova
    • 2
  • Anna Yashina
    • 3
  • Marina Albutova
    • 2
  • Olga Malenova
    • 1
  1. 1.Ulyanovsk State Technical UniversityUlyanovskRussia
  2. 2.Ulyanovsk State UniversityUlyanovskRussia
  3. 3.Research-and-Production Association “Mars”UlyanovskRussia

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