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is ?:annotates of
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  • [\'Department of Neuroscience, Imaging and Clinical Sciences, \'G. d\'Annunzio\' University, Chieti, Italy.\', \'Department of Radiology, \'Santissima Annunziata\' Hospital, \'G. d\'Annunzio\' University of Chieti, Via dei Vestini, 66100, Chieti, Italy.\', \'Center of Advanced Studies and Technology (CAST), \'G. d\'Annunzio\' University of Chieti-Pescara, Chieti, Italy. p.chiacchiaretta@unich.it.\', \'Department of Psychological, Health and Territory Sciences, \'G. d\'Annunzio\' University of Chieti-Pescara, Chieti, Italy. p.chiacchiaretta@unich.it.\', \'Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.\', \'Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands.\', \'Department of Radiation Oncology, \'Santissima Annunziata\' Hospital, \'G. d\'Annunzio\' University of Chieti, Via Dei Vestini, 66100, Chieti, Italy.\', \'Unit of Ultrasound in Internal Medicine, Department of Medicine and Science of Aging, \'G. D\'Annunzio\' University, Chieti, Italy.\', \'Department of Pneumology, \'Santissima Annunziata\' Hospital, \'G. d\'Annunzio\' University of Chieti, Via Dei Vestini, 66100, Chieti, Italy.\', \'Clinic of Infectious Diseases, Department of Medicine and Science of Aging, University \'G. d\'Annunzio\' Chieti-Pescara, 66100, Chieti, Italy.\']
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  • 10.1038/s41598-021-96755-0
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  • Scientific reports
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  • 34446812
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is ?:relation_isRelatedTo_publication of
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  • Radiomics-based machine learning differentiates \'ground-glass\' opacities due to COVID-19 from acute non-COVID-19 lung disease.
?:type
?:year
  • 2021

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