Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism:...
Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics
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Basel: MDPI AG
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English
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Basel: MDPI AG
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The COVID-19 pandemic is inevitably changing the world in a dramatic way, and the role of computed tomography (CT) scans can be pivotal for the prognosis of COVID-19 patients. Since the start of the pandemic, great care has been given to the relationship between interstitial pneumonia caused by the infection and the onset of thromboembolic phenomen...
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Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics
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TN_cdi_proquest_journals_2584349326
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2584349326
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ISSN
2079-9292
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2079-9292
DOI
10.3390/electronics10202475
