Radiomics-based machine learning differentiates “ground-glass” opacities due to COVID-19 from acute non-COVID-19 lung disease - Delli Pizzi, Andrea; Chiarelli, Antonio Maria; Chiacchiaretta, Piero; Valdesi, Cristina; Croce, Pierpaolo; Mastrodicasa, Domenico; Villani, Michela; Trebeschi, Stefano; Serafini, Francesco Lorenzo; Rosa, Consuelo; Cocco, Giulio; Luberti, Riccardo; et al. (Scientific reports, 2021)
Keywords: 631/250/255; 692/53/2423; 692/700/1421; 692/700/478; Aged; Aged, 80 and over; Computed tomography; Coronaviruses; COVID-19; COVID-19 - diagnosis; COVID-19 Nucleic Acid Testing; COVID-19 Testing - methods; Differential diagnosis; Female; Humanities and Social Sciences; Humans; Learning algorithms; Lung; Lung diseases; Machine Learning; Male; Middle Aged; multidisciplinary; Patients; Pneumonia; Polymerase chain reaction; Prediction models; Radiometry - methods; Radiomics; Retrospective Studies; ROC Curve; SARS-CoV-2 - physiology; Science; Science (multidisciplinary); Sensitivity analysis; Sensitivity and Specificity; Tomography, X-Ray Computed