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  • [\'DIEEI, University of Catania, Catania, Italy.\', \'DIEEI, University of Catania, Catania, Italy. Electronic address: kavasidis@dieei.unict.it.\', \'National Institute for infectious disease, \'Lazzaro Spallanzani\' Department, Rome, Italy.\', \'STMicroelectronics - ADG Central R&D, Catania, Italy.\', \'Department of Computer Science, University of Turin, Turin, Italy.\', \'ChimBioFaram Department, University of Messina, Messina, Italy.\']
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  • -1
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?:doi
  • S0933-3657(21)00107-X10.1016/j.artmed.2021.102114
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  • Artificial intelligence in medicine
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  • 34412837
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  • An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans.
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?:year
  • 2021

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