Fractal Analysis in Pulmonary CT Images of COVID-19-Infected Patients
Fractal and Fractional
; 7(4):285, 2023.
Article
in English
| ProQuest Central | ID: covidwho-2299593
ABSTRACT
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.
Mathematics; computed tomography; picture texture; fractal analysis; fractal dimension; lacunarity; Patients; Tomography; Fractal geometry; Hyperplasia; Scanners; Severe acute respiratory syndrome coronavirus 2; Fractals; Boxes; Lung diseases; Medical imaging; Coronaviruses; Chronic obstructive pulmonary disease; X-rays; COVID-19
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Fractal and Fractional
Year:
2023
Document Type:
Article
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