COVID-19 Lesion Segmentation Using Lung CT Scan Images: Comparative Study Based on Active Contour Models
Pneumonia is a lung infection that threatens all age groups. In this paper, we use CT scans to investigate the effectiveness of active contour models (ACMs) for segmentation of pneumonia caused by the Coronavirus disease (COVID-19) as one of the successful methods for image segmentation. A compariso...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/17/8039 |
| _version_ | 1797521652872904704 |
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| author | Younes Akbari Hanadi Hassen Somaya Al-Maadeed Susu M. Zughaier |
| author_facet | Younes Akbari Hanadi Hassen Somaya Al-Maadeed Susu M. Zughaier |
| author_sort | Younes Akbari |
| collection | DOAJ |
| description | Pneumonia is a lung infection that threatens all age groups. In this paper, we use CT scans to investigate the effectiveness of active contour models (ACMs) for segmentation of pneumonia caused by the Coronavirus disease (COVID-19) as one of the successful methods for image segmentation. A comparison has been made between the performances of the state-of-the-art methods performed based on a database of lung CT scan images. This review helps the reader to identify starting points for research in the field of active contour models on COVID-19, which is a high priority for researchers and practitioners. Finally, the experimental results indicate that active contour methods achieve promising results when there are not enough images to use deep learning-based methods as one of the powerful tools for image segmentation. |
| first_indexed | 2024-03-10T08:15:35Z |
| format | Article |
| id | doaj.art-5a7cc8a4e188464ead011201ddb0f405 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T08:15:35Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-5a7cc8a4e188464ead011201ddb0f4052023-11-22T10:20:30ZengMDPI AGApplied Sciences2076-34172021-08-011117803910.3390/app11178039COVID-19 Lesion Segmentation Using Lung CT Scan Images: Comparative Study Based on Active Contour ModelsYounes Akbari0Hanadi Hassen1Somaya Al-Maadeed2Susu M. Zughaier3Department of Computer Science and Engineering, Qatar University, Doha 122104, QatarDepartment of Computer Science and Engineering, Qatar University, Doha 122104, QatarDepartment of Computer Science and Engineering, Qatar University, Doha 122104, QatarCollege of Medicine, QU Health, Qatar University, Doha 122104, QatarPneumonia is a lung infection that threatens all age groups. In this paper, we use CT scans to investigate the effectiveness of active contour models (ACMs) for segmentation of pneumonia caused by the Coronavirus disease (COVID-19) as one of the successful methods for image segmentation. A comparison has been made between the performances of the state-of-the-art methods performed based on a database of lung CT scan images. This review helps the reader to identify starting points for research in the field of active contour models on COVID-19, which is a high priority for researchers and practitioners. Finally, the experimental results indicate that active contour methods achieve promising results when there are not enough images to use deep learning-based methods as one of the powerful tools for image segmentation.https://www.mdpi.com/2076-3417/11/17/8039chest CT scansCOVID-19 infectionpneumoniaactive contour modelsparametric methodslevel set methods |
| spellingShingle | Younes Akbari Hanadi Hassen Somaya Al-Maadeed Susu M. Zughaier COVID-19 Lesion Segmentation Using Lung CT Scan Images: Comparative Study Based on Active Contour Models Applied Sciences chest CT scans COVID-19 infection pneumonia active contour models parametric methods level set methods |
| title | COVID-19 Lesion Segmentation Using Lung CT Scan Images: Comparative Study Based on Active Contour Models |
| title_full | COVID-19 Lesion Segmentation Using Lung CT Scan Images: Comparative Study Based on Active Contour Models |
| title_fullStr | COVID-19 Lesion Segmentation Using Lung CT Scan Images: Comparative Study Based on Active Contour Models |
| title_full_unstemmed | COVID-19 Lesion Segmentation Using Lung CT Scan Images: Comparative Study Based on Active Contour Models |
| title_short | COVID-19 Lesion Segmentation Using Lung CT Scan Images: Comparative Study Based on Active Contour Models |
| title_sort | covid 19 lesion segmentation using lung ct scan images comparative study based on active contour models |
| topic | chest CT scans COVID-19 infection pneumonia active contour models parametric methods level set methods |
| url | https://www.mdpi.com/2076-3417/11/17/8039 |
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