Yuriy Tomka

Work place: Computer Science Department,Yuriy Fedcovitch Chernivtsi National University, Chernivtsi, 58002, Ukraine

E-mail: y.tomka@chnu.edu.ua

Website: https://orcid.org/0000-0002-0495-3090

Research Interests: Optical Communication, Software Engineering, Medical Informatics, Computer Vision

Biography

Tomka Yurii is Associate Professor at the Computer Science Department, PhD, Chernivtsi National University, Chernivtsi, Ukraine. He has authored nearly 150 scientific publications, over 60 of which are indexed in Scopus. Associate Professor, Department of Computer Science, Yurii Fedkovych Chernivtsi National University, Ukraine. His research interests include deep learning-based computer vision, software engineering, laser polarimetry and optical diagnostics of biological tissues, fractalometry for non-invasive medical applications.

Author Articles
Information Technology for Multiparametric Analysis of Laser Images of Biological Fluid Films in Biomedical Applications

By Yuriy Ushenko Ivan Gordey Yuriy Tomka Irina Soltys Oksana Bakun Zhengbing Hu

DOI: https://doi.org/10.5815/ijigsp.2023.05.06, Pub. Date: 8 Oct. 2023

At the current moment, all developed polarization methods utilize "single-point" statistical analysis algorithms for laser fields. A relevant task is to generalize traditional techniques by incorporating new correlation-based "two-point" algorithms for the analysis of polarization images. Theoretical foundations of the mutual and autocorrelation processing of phase maps of polarization-structural images of samples of dehydrated serum films are given. The maps of a new polarization-correlation parameters, namely complex degree of coherence (CDC) and complex degree of mutual polarization (CDMP) of soft matter layer boundary field by the example of dehydrated serum film samples are investigated. Two groups of representative samples, uterine myoma patients (control group 1) and patients with external genital endometriosis (study group 2), were considered. We applied a complex algorithm of analytical data processing - statistical (1stand 4th central statistical moments), correlation (Gram-Charlie expansion coefficients of autocorrelation functions) and fractal (fractal dimensions) parameters of polarization-correlation parameters maps. Objective markers for diagnosing extragenital endometriosis were found.

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