Deep Convolutional Approaches for the Analysis of COVID-19 Using Chest X-Ray Images From Portable Devices

The recent human coronavirus disease (COVID-19) is a respiratory infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Given the effects of COVID-19 in pulmonary tissues, chest radiography imaging plays an important role in the screening, early detection, and monitoring o...

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Veröffentlicht in:	IEEE access 2020-01, Vol.8, p.195594-195607
Hauptverfasser:	De Moura, Joaquim, Garcia, Lucia Ramos, Vidal, Placido Francisco Lizancos, Cruz, Milena, Lopez, Laura Abelairas, Lopez, Eva Castro, Novo, Jorge, Ortega, Marcos
Format:	Artikel
Sprache:	eng
Schlagworte:	Chest Chest X-ray imaging Computational and Artificial Intelligence Computer architecture Coronaviruses COVID-19 Decision analysis Decision making Deep learning Image acquisition Image classification Image quality Imaging Lung Machine learning Medical imaging Pandemics Portable equipment Radiographs Radiography Respiratory diseases Risk management Severe acute respiratory syndrome coronavirus 2 Viral diseases X-ray imaging X-ray portable device
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