An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization

• Published in: Applied soft computing Vol. 98; p. 106742
• Main Authors: Ezzat, Dalia, Hassanien, Aboul Ella, Ella, Hassan Aboul
• Format: Journal Article
• Language: English
• Published: United States Elsevier B.V 01.01.2021; Elsevier
• Subjects: Convolutional neural networks; Deep learning; Gravitational search algorithm; Hyperparameters optimization; SARS-CoV-2; Transfer learning; Deep learning; SARS-CoV-2; Gravitational search algorithm; Hyperparameters optimization; Convolutional neural networks; Transfer learning

In this paper, a novel approach called GSA-DenseNet121-COVID-19 based on a hybrid convolutional neural network (CNN) architecture is proposed using an optimization algorithm. The CNN architecture that was used is called DenseNet121, and the optimization algorithm that was used is called the gravitat...