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Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study.
Mento, Federico; Perrone, Tiziano; Fiengo, Anna; Smargiassi, Andrea; Inchingolo, Riccardo; Soldati, Gino; Demi, Libertario.
Afiliação
  • Mento F; Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 9, 38123, Trento, Italy.
  • Perrone T; Department of Internal Medicine, IRCCS San Matteo, 27100, Pavia, Italy.
  • Fiengo A; Department of Internal Medicine, IRCCS San Matteo, 27100, Pavia, Italy.
  • Smargiassi A; Department of Cardiovascular and Thoracic Sciences, Pulmonary Medicine Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy.
  • Inchingolo R; Department of Cardiovascular and Thoracic Sciences, Pulmonary Medicine Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy.
  • Soldati G; Diagnostic and Interventional Ultrasound Unit, Valle del Serchio General Hospital, 55032 Lucca, Italy.
  • Demi L; Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 9, 38123, Trento, Italy.
J Acoust Soc Am ; 149(5): 3626, 2021 05.
Article em En | MEDLINE | ID: mdl-34241100
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / COVID-19 Tipo de estudo: Clinical_trials / Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / COVID-19 Tipo de estudo: Clinical_trials / Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article