INTELEGENCE DIAGNOSTIC SYSTEM OF LIVER FIBROSIS STAGES

Authors

  • V. M. Sineglazov National Aviation University, Kyiv
  • M. V. Shevchenko National Aviation University, Kyiv
  • A. T. Kot National Technical University of Ukraine “Ihor Sikorsky Kyiv Polytechnic Institute”

DOI:

https://doi.org/10.18372/1990-5548.64.14853

Keywords:

Intelligent system, stages of liver fibrosis, magnetic resonance imaging, convolution neural network, Transfer Learning algorithm, texture, fuzzy neural networks

Abstract

The necessity of constructing an intelligent system for diagnosing stages of liver fibrosis is determined, for which the values of the parameters characterizing the functioning of the liver are determined. Magnetic resonance imaging is considered as the main medical equipment used for diagnosis. A structural diagram of the diagnostic system is developed, which includes a tomogram processing subsystem and a decision-making subsystem. As a basic element of the tomogram processing subsystem, a convolutional neural network (Residual Network) is used, the training of which is carried out using the Transfer Learning algorithm. As the parameter that determine the stage of liver fibrosis, the image texture is used. The decision support subsystem is built on the basis of fuzzy neural networks. Examples of the system when determining the stages of fibrosis are given.

Author Biographies

V. M. Sineglazov, National Aviation University, Kyiv

Aviation Computer-Integrated Complexes Department, Faculty of Air Navigation Electronics and Telecommunications

Doctor of Engineering Science. Professor. Head of the Department

orcid.org/0000-0002-3297-9060

M. V. Shevchenko, National Aviation University, Kyiv

Aviation Computer-Integrated Complexes Department, Faculty of Air Navigation Electronics and Telecommunications

Bachelor

A. T. Kot, National Technical University of Ukraine “Ihor Sikorsky Kyiv Polytechnic Institute”

Technical Cybernetic Department

Post-graduate student

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Issue

Vol. 2 No. 64 (2020)

Section

COMPUTER SCIENCES AND INFORMATION TECHNOLOGIES

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