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RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images.
El-Dahshan, El-Sayed A; Bassiouni, Mahmoud M; Hagag, Ahmed; Chakrabortty, Ripon K; Loh, Huiwen; Acharya, U Rajendra.
Afiliação
  • El-Dahshan EA; Department of Physics, Faculty of Science, Ain Shams University, Postal Code: 11566, Cairo, Egypt.
  • Bassiouni MM; Egyptian E-Learning University (EELU), 33 El-messah Street, Eldoki, Postal Code: 11261, El-Giza, Egypt.
  • Hagag A; Egyptian E-Learning University (EELU), 33 El-messah Street, Eldoki, Postal Code: 11261, El-Giza, Egypt.
  • Chakrabortty RK; Department of Scientific Computing, Faculty of Computers and Artificial Intelligence, Benha University, Benha 13518, Egypt.
  • Loh H; School of Engineering and IT, UNSW Canberra at ADFA, Canberra, ACT 2612, Australia.
  • Acharya UR; Department of Biomedical Engineering, School of Science and Technology, SUSS University, Singapore.
Expert Syst Appl ; 204: 117410, 2022 Oct 15.
Article em En | MEDLINE | ID: mdl-35502163
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Expert Syst Appl Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Egito
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Expert Syst Appl Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Egito