Fractal based automatic detection of complexity in COVID-19 X-ray images

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F25%3A43910572" target="_blank" >RIV/60076658:12310/25:43910572 - isvavai.cz</a>

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1111/exsy.13497?src=getftr&utm_source=clarivate&getft_integrator=clarivate" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1111/exsy.13497?src=getftr&utm_source=clarivate&getft_integrator=clarivate</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/exsy.13497" target="_blank" >10.1111/exsy.13497</a>

Result language

angličtina

Original language name

Fractal based automatic detection of complexity in COVID-19 X-ray images

Original language description

The coronavirus was discovered in Wuhan, China, in December 2019. Scientists and medical practitioners have warned that this fatal virus could spread quickly from person to person in its early stages and its impact will be far more vigorous than the previously discovered viruses. The World Health Organization has given warning propaganda to all nations about this harmful virus. However, the diffusion speed of COVID-19 was so rapid that it spread to all countries much faster than the researchers predicted, causing the widespread human disaster. The genetic variations of COVID-19 have also astounded researchers today, as it modifies its mutation with very large genetic strains. The virus is regarded as a human version of the disease, resulting in the common cold, dry cough, and respiratory problems in severe cases. According to health organisations, the coronavirus directly affects the lungs, causing main problems such as difficulty breathing. It is also tough for physicians to diagnose the disease level properly by using the regular process. Even though the virus can be detected in regular testing methods, even computed tomography (CT) and X-ray images are widely used in the medical field to identify the respiratory problems caused by the COVID-19 virus. Like COVID-19, some other types of pneumonia respiratory diseases also affect the human lungs. The fractal dimension (FD) is an interesting non-linear measure to describe the complexity of visual images. In this context, the complexity of X-ray images is analysed by using the fractal dimension. The fractal dimension is an excellent non-linear measurement for describing the complexity of realistic images. The difference between the complexity of the X-ray images of COVID-19-infected patients and the X-ray images of other types of pneumonia respiratory diseases is well explained by using the fractal dimension. It is also concluded that the fractal dimension discriminates the lung diseases due to COVID-19 from various pneumonia respiratory diseases.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Expert Systems

ISSN

0266-4720

e-ISSN

1468-0394

Volume of the periodical

42

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

21

Pages from-to

nestránkováno

UT code for WoS article

001095469300001

EID of the result in the Scopus database

2-s2.0-85176102667