Enhancing COVID-19 Detection: An Xception-Based Model with Advanced Transfer Learning from X-ray Thorax Images.

Mandiya, Reagan E; Kongo, Hervé M; Kasereka, Selain K; Kyandoghere, Kyamakya; Tshakwanda, Petro Mushidi; Kasoro, Nathanaël M

Mandiya, Reagan E; Kongo, Hervé M; Kasereka, Selain K; Kyandoghere, Kyamakya; Tshakwanda, Petro Mushidi; Kasoro, Nathanaël M.

Afiliação

Mandiya RE; Mathematics, Statistics and Computer Science Department, University of Kinshasa, Kinshasa XI P.O. Box 190, Democratic Republic of the Congo.
Kongo HM; Artificial Intelligence, Big Data and Modeling Simulation Research Center (ABIL), Kinshasa XI P.O. Box 190, Democratic Republic of the Congo.
Kasereka SK; Mathematics, Statistics and Computer Science Department, University of Kinshasa, Kinshasa XI P.O. Box 190, Democratic Republic of the Congo.
Kyandoghere K; Mathematics, Statistics and Computer Science Department, University of Kinshasa, Kinshasa XI P.O. Box 190, Democratic Republic of the Congo.
Tshakwanda PM; Artificial Intelligence, Big Data and Modeling Simulation Research Center (ABIL), Kinshasa XI P.O. Box 190, Democratic Republic of the Congo.
Kasoro NM; Institute of Smart Systems Technologies, University of Klagenfurt, 9020 Klagenfurt am Wörthersee, Austria.

J Imaging ; 10(3)2024 Feb 29.

Article em En | MEDLINE | ID: mdl-38535143

Palavras-chave

COVID-19; X-ray images; Xception; medical imaging; neural network; transfer learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Imaging Ano de publicação: 2024 Tipo de documento: Article País de afiliação: República Democrática do Congo País de publicação: Suíça

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