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FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection.
Abdel-Basset, Mohamed; Chang, Victor; Hawash, Hossam; Chakrabortty, Ripon K; Ryan, Michael.
Afiliación
  • Abdel-Basset M; Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharqiyah, 44519, Egypt.
  • Chang V; School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, UK.
  • Hawash H; Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharqiyah, 44519, Egypt.
  • Chakrabortty RK; Capability Systems Centre, School of Engineering and IT, UNSW Canberra, Australia.
  • Ryan M; Capability Systems Centre, School of Engineering and IT, UNSW Canberra, Australia.
Knowl Based Syst ; 212: 106647, 2021 Jan 05.
Article en En | MEDLINE | ID: mdl-33519100
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Knowl Based Syst Año: 2021 Tipo del documento: Article País de afiliación: Egipto
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Knowl Based Syst Año: 2021 Tipo del documento: Article País de afiliación: Egipto