McS-Net: Multi-class Siamese network for severity of COVID-19 infection classification from lung CT scan slices

Worldwide COVID-19 is a highly infectious and rapidly spreading disease in almost all age groups. The Computed Tomography (CT) scans of lungs are found to be accurate for the timely diagnosis of COVID-19 infection. In the proposed work, a deep learning-based P-shot N-ways Siamese network along with...

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Detalles Bibliográficos
Autores principales: Ahuja, Sakshi, Panigrahi, Bijaya Ketan, Dey, Nilanjan, Taneja, Arpit, Gandhi, Tapan Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573862/
https://www.ncbi.nlm.nih.gov/pubmed/36277300
http://dx.doi.org/10.1016/j.asoc.2022.109683

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573862/
https://www.ncbi.nlm.nih.gov/pubmed/36277300
http://dx.doi.org/10.1016/j.asoc.2022.109683

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