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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2022
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| Materias: | |
| 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 |