Atlas-based lung segmentation combined with automatic densitometry characterization in COVID-19 patients: Training, validation and first application in a longitudinal study
• Segmentation algorithms do not work well on unhealthy lungs as COVID-19 ones. • An Atlas for segmentation of COVID-19 lungs’ patients was developed and validated. • Lung histograms parameters could impact the clinical management of COVID-19 patients. • Lung densitometry characterization method int...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mori, Martina [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
Automatic segmentation Atlas-based |
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| Umfang: |
11 |
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| Übergeordnetes Werk: |
Enthalten in: An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study - Almanassra, Ismail W. ELSEVIER, 2019, European journal of medical physics : an international journal devoted to the applications of physics to medicine and biology, Amsterdam |
|---|---|
| Übergeordnetes Werk: |
volume:100 ; year:2022 ; pages:142-152 ; extent:11 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ejmp.2022.06.018 |
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| 520 | |a • Segmentation algorithms do not work well on unhealthy lungs as COVID-19 ones. • An Atlas for segmentation of COVID-19 lungs’ patients was developed and validated. • Lung histograms parameters could impact the clinical management of COVID-19 patients. • Lung densitometry characterization method integrated to segmentation was implemented. | ||
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atlas-based lung segmentation combined with automatic densitometry characterization in covid-19 patients: training, validation and first application in a longitudinal study |
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Atlas-based lung segmentation combined with automatic densitometry characterization in COVID-19 patients: Training, validation and first application in a longitudinal study |
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• Segmentation algorithms do not work well on unhealthy lungs as COVID-19 ones. • An Atlas for segmentation of COVID-19 lungs’ patients was developed and validated. • Lung histograms parameters could impact the clinical management of COVID-19 patients. • Lung densitometry characterization method integrated to segmentation was implemented. |
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• Segmentation algorithms do not work well on unhealthy lungs as COVID-19 ones. • An Atlas for segmentation of COVID-19 lungs’ patients was developed and validated. • Lung histograms parameters could impact the clinical management of COVID-19 patients. • Lung densitometry characterization method integrated to segmentation was implemented. |
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• Segmentation algorithms do not work well on unhealthy lungs as COVID-19 ones. • An Atlas for segmentation of COVID-19 lungs’ patients was developed and validated. • Lung histograms parameters could impact the clinical management of COVID-19 patients. • Lung densitometry characterization method integrated to segmentation was implemented. |
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Atlas-based lung segmentation combined with automatic densitometry characterization in COVID-19 patients: Training, validation and first application in a longitudinal study |
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Alborghetti, Lisa Palumbo, Diego Broggi, Sara Raspanti, Davide Rovere Querini, Patrizia Del Vecchio, Antonella De Cobelli, Francesco Fiorino, Claudio |
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10.1016/j.ejmp.2022.06.018 |
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