Deep Fractional Max Pooling Neural Network for COVID-19 Recognition.

Wang, Shui-Hua; Satapathy, Suresh Chandra; Anderson, Donovan; Chen, Shi-Xin; Zhang, Yu-Dong

Wang, Shui-Hua; Satapathy, Suresh Chandra; Anderson, Donovan; Chen, Shi-Xin; Zhang, Yu-Dong.

Afiliación

Wang SH; School of Mathematics and Actuarial Science, University of Leicester, Leicester, United Kingdom.
Satapathy SC; School of Computer Engineering, KIIT Deemed to University, Bhubaneswar, India.
Anderson D; School of Mathematics and Actuarial Science, University of Leicester, Leicester, United Kingdom.
Chen SX; Nursing Department, The Fourth People's Hospital of Huai'an, Huai'an, China.
Zhang YD; School of Informatics, University of Leicester, Leicester, United Kingdom.

Front Public Health ; 9: 726144, 2021.

Article en En | MEDLINE | ID: mdl-34447739

Asunto(s)

COVID-19; Neumonía; Algoritmos; Humanos; Redes Neurales de la Computación; SARS-CoV-2

Palabras clave

COVID-19; average pooling; convolutional neural network; data augmentation; fractional max pooling; model averaging

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neumonía / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Front Public Health Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

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