A Novel Method to Identify Pneumonia through Analyzing Chest Radiographs Employing a Multichannel Convolutional Neural Network.

Nahid, Abdullah-Al; Sikder, Niloy; Bairagi, Anupam Kumar; Razzaque, Md Abdur; Masud, Mehedi; Z Kouzani, Abbas; Mahmud, M A Parvez

Nahid, Abdullah-Al; Sikder, Niloy; Bairagi, Anupam Kumar; Razzaque, Md Abdur; Masud, Mehedi; Z Kouzani, Abbas; Mahmud, M A Parvez.

Afiliación

Nahid AA; Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh.
Sikder N; Computer Science and Engineering Discipline, Khulna University, Khulna 9208, Bangladesh.
Bairagi AK; Computer Science and Engineering Discipline, Khulna University, Khulna 9208, Bangladesh.
Razzaque MA; Department of Computer Science and Engineering, University of Dhaka, Dhaka 1000, Bangladesh.
Masud M; Department of Computer Science, Taif University, Taif 21944, Saudi Arabia.
Z Kouzani A; School of Engineering, Deakin University, Geelong, VIC 3216, Australia.
Mahmud MAP; School of Engineering, Deakin University, Geelong, VIC 3216, Australia.

Sensors (Basel) ; 20(12)2020 Jun 19.

Article en En | MEDLINE | ID: mdl-32575656

Asunto(s)

Aprendizaje Profundo; Redes Neurales de la Computación; Neumonía; Niño; Humanos; Neumonía/diagnóstico por imagen; Radiografía; Radiografía Torácica

Palabras clave

chest radiograph; deep learning; medical image processing; pneumonia

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neumonía / Redes Neurales de la Computación / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies Límite: Child / Humans Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Bangladesh Pais de publicación: Suiza

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