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research article

Fractal Analysis in Pulmonary CT Images of COVID-19-Infected Patients

Paun, Maria-Alexandra  
•
Postolache, Paraschiva
•
Nichita, Mihai-Virgil
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April 1, 2023
Fractal And Fractional

In this paper, we propose to quantitatively compare the loss of human lung health under the influence of the illness with COVID-19, based on the fractal-analysis interpretation of the chest-pulmonary CT pictures, in the case of small datasets, which are usually encountered in medical applications. The fractal analysis characteristics, such as fractal dimension and lacunarity measured values, have been utilized as an effective advisor to interpretation of pulmonary CT picture texture.

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Type
research article
DOI
10.3390/fractalfract7040285
Web of Science ID

WOS:000978571100001

Author(s)
Paun, Maria-Alexandra  
Postolache, Paraschiva
Nichita, Mihai-Virgil
Paun, Vladimir-Alexandru
Paun, Viorel-Puiu
Date Issued

2023-04-01

Publisher

MDPI

Published in
Fractal And Fractional
Volume

7

Issue

4

Start page

285

Subjects

Mathematics, Interdisciplinary Applications

•

Mathematics

•

computed tomography

•

picture texture

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fractal analysis

•

fractal dimension

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lacunarity

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chest ct

•

diagnosis

•

dimension

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SCI-STI-CD  
Available on Infoscience
May 22, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/197775
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