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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Expert Systems

ISSN

0266-4720

e-ISSN

1468-0394

Svazek periodika

42

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

21

Strana od-do

nestránkováno

Kód UT WoS článku

001095469300001

EID výsledku v databázi Scopus

2-s2.0-85176102667