Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet.

Panwar, Harsh; Gupta, P K; Siddiqui, Mohammad Khubeb; Morales-Menendez, Ruben; Singh, Vaishnavi

Panwar, Harsh; Gupta, P K; Siddiqui, Mohammad Khubeb; Morales-Menendez, Ruben; Singh, Vaishnavi.

Afiliación

Panwar H; Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan, HP, 173 234, India.
Gupta PK; Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan, HP, 173 234, India.
Siddiqui MK; School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, NL, Mexico.
Morales-Menendez R; School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, NL, Mexico.
Singh V; Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan, HP, 173 234, India.

Chaos Solitons Fractals ; 138: 109944, 2020 Sep.

Article en En | MEDLINE | ID: mdl-32536759

Palabras clave

COVID-19; Convolutional neural network (CNN); Deep learning; Detection; X-Rays; nCOVnet

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Chaos Solitons Fractals Año: 2020 Tipo del documento: Article País de afiliación: India

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