Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks - Ardakani, Ali Abbasian; Kanafi, Alireza Rajabzadeh; Acharya, U. Rajendra; Khadem, Nazanin; Mohammadi, Afshin (Computers in biology and medicine, 2020)
Keywords: Accuracy; Adult; Aged; Aged, 80 and over; Artificial Intelligence; Artificial neural networks; Betacoronavirus; Clinical medicine; Computational Biology; Computed tomography; Control methods; Coronavirus infections; Coronavirus Infections - diagnosis; Coronavirus Infections - diagnostic imaging; Coronaviruses; Cost analysis; COVID-19; Deep Learning; Diagnosis; Diagnostic software; Diagnostic systems; Disease control; Female; Humans; Infections; Internal Medicine; Laboratories; Laboratory tests; Lung - diagnostic imaging; Lung diseases; Machine learning; Male; Middle Aged; Neural networks; Neural Networks, Computer; Other; Pandemics; Performance enhancement; Physicians; Pneumonia; Pneumonia - diagnosis; Pneumonia - diagnostic imaging; Pneumonia, Viral - diagnosis; Pneumonia, Viral - diagnostic imaging; Radiographic Image Interpretation, Computer-Assisted; Radiology; Respiratory diseases; SARS-CoV-2; Sensitivity; Tomography, X-Ray Computed; Viral diseases; COVID-19; Deep learning; Pneumonia; Coronavirus infections; Computed tomography; Lung diseases; Machine learning