COV-DLS: Prediction of COVID-19 from X-Rays Using Enhanced Deep Transfer Learning Techniques

In this paper, modifications in neoteric architectures such as VGG16, VGG19, ResNet50, and InceptionV3 are proposed for the classification of COVID-19 using chest X-rays. The proposed architectures termed “COV-DLS” consist of two phases: heading model construction and classification. The heading mod...

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Detalles Bibliográficos
Autores principales: Kumar, Vijay, Zarrad, Anis, Gupta, Rahul, Cheikhrouhou, Omar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002900/
https://www.ncbi.nlm.nih.gov/pubmed/35422979
http://dx.doi.org/10.1155/2022/6216273

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002900/
https://www.ncbi.nlm.nih.gov/pubmed/35422979
http://dx.doi.org/10.1155/2022/6216273

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