Cargando…
Conceptualising a channel-based overlapping CNN tower architecture for COVID-19 identification from CT-scan images
Convolutional Neural Network (CNN) has been employed in classifying the COVID cases from the lungs’ CT-Scan with promising quantifying metrics. However, SARS COVID-19 has been mutated, and we have many versions of the virus B.1.1.7, B.1.135, and P.1, hence there is a need for a more robust architect...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616419/ https://www.ncbi.nlm.nih.gov/pubmed/36307444 http://dx.doi.org/10.1038/s41598-022-21700-8 |