Enhanced framework for COVID-19 prediction with computed tomography scan images using dense convolutional neural network and novel loss function()

Recent studies have shown that computed tomography (CT) scan images can characterize COVID-19 disease in patients. Several deep learning (DL) methods have been proposed for diagnosis in the literature, including convolutional neural networks (CNN). But, with inefficient patient classification models...

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Detalles Bibliográficos
Autores principales: Motwani, Anand, Shukla, Piyush Kumar, Pawar, Mahesh, Kumar, Manoj, Ghosh, Uttam, Alnumay, Waleed, Nayak, Soumya Ranjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659516/
https://www.ncbi.nlm.nih.gov/pubmed/36406625
http://dx.doi.org/10.1016/j.compeleceng.2022.108479

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659516/
https://www.ncbi.nlm.nih.gov/pubmed/36406625
http://dx.doi.org/10.1016/j.compeleceng.2022.108479

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