Chest CT Computerized Aided Quantification of PNEUMONIA Lesions in COVID-19 Infection: A Comparison among Three Commercial Software

To compare different commercial software in the quantification of Pneumonia Lesions in COVID-19 infection and to stratify the patients based on the disease severity using on chest computed tomography (CT) images. We retrospectively examined 162 patients with confirmed COVID-19 infection by reverse t...

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Veröffentlicht in:	International journal of environmental research and public health 2020-09, Vol.17 (18), p.6914
Hauptverfasser:	Grassi, Roberto, Cappabianca, Salvatore, Urraro, Fabrizio, Feragalli, Beatrice, Montanelli, Alessandro, Patelli, Gianluigi, Granata, Vincenza, Giacobbe, Giuliana, Russo, Gaetano Maria, Grillo, Assunta, De Lisio, Angela, Paura, Cesare, Clemente, Alfredo, Gagliardi, Giuliano, Magliocchetti, Simona, Cozzi, Diletta, Fusco, Roberta, Belfiore, Maria Paola, Grassi, Roberta, Miele, Vittorio
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Chest Computed tomography Consolidation Coronavirus Infections - diagnostic imaging Correlation analysis COVID-19 Deep learning Diagnosis, Computer-Assisted - methods Feasibility Studies Health care Humans Infections Lesions Lungs Machine learning Medical imaging Opacity Pandemics Parenchyma Patients Pneumonia Pneumonia, Viral - diagnostic imaging Polymerase chain reaction Retrospective Studies RNA-directed DNA polymerase Severe acute respiratory syndrome coronavirus 2 Severity of Illness Index Software Thorax Tomography, X-Ray Computed - methods
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