An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network.

Baghdadi, Nadiah A; Malki, Amer; Abdelaliem, Sally F; Magdy Balaha, Hossam; Badawy, Mahmoud; Elhosseini, Mostafa

Baghdadi, Nadiah A; Malki, Amer; Abdelaliem, Sally F; Magdy Balaha, Hossam; Badawy, Mahmoud; Elhosseini, Mostafa.

Affiliation

Baghdadi NA; Princess Nourah bint Abdulrahman University, College of Nursing, Riyadh, 11671, Riyadh, P.O. BOX 84428, Saudi Arabia. Electronic address: NABaghdadi@pnu.edu.sa.
Malki A; Taibah University, College of Computer Science and Engineering, Yanbu, 46421, Saudi Arabia.
Abdelaliem SF; Princess Nourah bint Abdulrahman University, College of Nursing, Riyadh, 11671, Riyadh, P.O. BOX 84428, Saudi Arabia.
Magdy Balaha H; Mansoura University, Faculty of Engineering, Computers and Control Systems Engineering Department, Mansoura, 46421, Egypt.
Badawy M; Mansoura University, Faculty of Engineering, Computers and Control Systems Engineering Department, Mansoura, 46421, Egypt. Electronic address: engbadawy@mans.edu.eg.
Elhosseini M; Taibah University, College of Computer Science and Engineering, Yanbu, 46421, Saudi Arabia; Mansoura University, Faculty of Engineering, Computers and Control Systems Engineering Department, Mansoura, 46421, Egypt.

Comput Biol Med ; 144: 105383, 2022 05.

Article de En | MEDLINE | ID: mdl-35290811

Sujet(s)
Mots clés

COVID-19; Convolutional neural network (CNN); Deep learning (DL); Metaheuristic optimization; Sparrow search algorithm

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Apprentissage profond / COVID-19 Type d'étude: Diagnostic_studies Limites: Humans Langue: En Journal: Comput Biol Med Année: 2022 Type de document: Article

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