Isfahan and Covid-19: Deep spatiotemporal representation.

Kafieh, Rahele; Saeedizadeh, Narges; Arian, Roya; Amini, Zahra; Serej, Nasim Dadashi; Vaezi, Atefeh; Javanmard, Shaghayegh Haghjooy

Kafieh, Rahele; Saeedizadeh, Narges; Arian, Roya; Amini, Zahra; Serej, Nasim Dadashi; Vaezi, Atefeh; Javanmard, Shaghayegh Haghjooy.

Afiliação

Kafieh R; Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Saeedizadeh N; Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Arian R; Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Amini Z; Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Serej ND; Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Vaezi A; Department of Community and Family Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Javanmard SH; Applied physiology research center, Isfahan cardiovascular research institute, Isfahan university of medical sciences, Isfahan, Iran.

Chaos Solitons Fractals ; 141: 110339, 2020 Dec.

Article em En | MEDLINE | ID: mdl-33041534

Palavras-chave

COVID-19; Deep learning; Isfahan; Predication

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Chaos Solitons Fractals Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Irã

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