Determining Area Affected by Corona in Lung Computed Tomography Images by Three-phase Level Set and Shearlet Transform

The proposed multiphase level set method, enhanced with shearlet and phase stretch transforms, effectively segments COVID-19-infected lung regions. This approach improves segmentation accuracy and computational efficiency, offering a reliable tool for quantitative lung involvement assessment.

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Publication Details

Journal
Journal of Medical Signals & Sensors
Published
2025-12-01
DOI
https://doi.org/10.4103/jmss.jmss_18_25
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
Field-Weighted Citation Impact
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article

Determining Area Affected by Corona in Lung Computed Tomography Images by Three-phase Level Set and Shearlet Transform

Nasser Aghazadeh, Parisa Noras, Sevda Moghaddasighamchi
Journal of Medical Signals & Sensors
Advanced X-ray Imaging Techniques
article

Determining Area Affected by Corona in Lung Computed Tomography Images by Three-phase Level Set and Shearlet Transform

Nasser Aghazadeh, Parisa Noras, Sevda Moghaddasighamchi
article en

Abstract

The proposed multiphase level set method, enhanced with shearlet and phase stretch transforms, effectively segments COVID-19-infected lung regions. This approach improves segmentation accuracy and computational efficiency, offering a reliable tool for quantitative lung involvement assessment.

Journal of Medical Signals & SensorsVol. 15(12)
Khazar University (AZ), Izmir Institute of Technology (TR), Azarbaijan Shahid Madani University (IR), University of Göttingen (DE)
Openalex Percentile: Top 53%
Advanced X-ray Imaging Techniques
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