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Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images.
Tahir, Anas M; Qiblawey, Yazan; Khandakar, Amith; Rahman, Tawsifur; Khurshid, Uzair; Musharavati, Farayi; Islam, M T; Kiranyaz, Serkan; Al-Maadeed, Somaya; Chowdhury, Muhammad E H.
Afiliação
  • Tahir AM; Department of Electrical Engineering, Qatar University, 2713 Doha, Qatar.
  • Qiblawey Y; Department of Electrical Engineering, Qatar University, 2713 Doha, Qatar.
  • Khandakar A; Department of Electrical Engineering, Qatar University, 2713 Doha, Qatar.
  • Rahman T; Department of Electrical Engineering, Qatar University, 2713 Doha, Qatar.
  • Khurshid U; Department of Electrical Engineering, Qatar University, 2713 Doha, Qatar.
  • Musharavati F; Mechanical & Industrial Engineering Department, Qatar University, 2713 Doha, Qatar.
  • Islam MT; Department of Electrical, Electronic & Systems Engineering, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Malaysia.
  • Kiranyaz S; Department of Electrical Engineering, Qatar University, 2713 Doha, Qatar.
  • Al-Maadeed S; Department of Computer Science and Engineering, Qatar University, 2713 Doha, Qatar.
  • Chowdhury MEH; Department of Electrical Engineering, Qatar University, 2713 Doha, Qatar.
Cognit Comput ; 14(5): 1752-1772, 2022.
Article em En | MEDLINE | ID: mdl-35035591
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Cognit Comput Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Cognit Comput Ano de publicação: 2022 Tipo de documento: Article