COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs.

Khan, Saddam Hussain; Iqbal, Javed; Hassnain, Syed Agha; Owais, Muhammad; Mostafa, Samih M; Hadjouni, Myriam; Mahmoud, Amena

Khan, Saddam Hussain; Iqbal, Javed; Hassnain, Syed Agha; Owais, Muhammad; Mostafa, Samih M; Hadjouni, Myriam; Mahmoud, Amena.

Afiliação

Khan SH; Department of Computer Systems Engineering, University of Engineering and Applied Science, Swat 19060, Pakistan.
Iqbal J; Department of Computer Systems Engineering, University of Engineering and Applied Science, Swat 19060, Pakistan.
Hassnain SA; Ocean College, Zhejiang University, Zheda Road 1, Zhoushan, Zhejiang 316021, China.
Owais M; KUCARS and C2PS, Department of Electrical Engineering and Computer Science, Khalifa University, UAE.
Mostafa SM; Computer Science Department, Faculty of Computers and Information, South Valley University, Qena 83523, Egypt.
Hadjouni M; Faculty of Industry and Energy Technology, New Assiut Technological University (N.A.T.U.), New Assiut City, Egypt.
Mahmoud A; Department of Computer Sciences, College of Computer and Information Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.

Expert Syst Appl ; 229: 120477, 2023 Nov 01.

Article em En | MEDLINE | ID: mdl-37220492

Palavras-chave

Analysis; Boosting; CNN; COVID-19; CT lung; Detection; Split-transform-merge; Transfer-learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Expert Syst Appl Ano de publicação: 2023 Tipo de documento: Article

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