ET-NET: an ensemble of transfer learning models for prediction of COVID-19 infection through chest CT-scan images

The COVID-19 virus has caused a worldwide pandemic, affecting numerous individuals and accounting for more than a million deaths. The countries of the world had to declare complete lockdown when the coronavirus led to community spread. Although the real-time Polymerase Chain Reaction (RT-PCR) test i...

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Detalles Bibliográficos
Autores principales: Kundu, Rohit, Singh, Pawan Kumar, Ferrara, Massimiliano, Ahmadian, Ali, Sarkar, Ram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
1192: Pioneering AI, Data Science and Multimedia Techniques and Findings for COVID-19
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405348/
https://www.ncbi.nlm.nih.gov/pubmed/34483709
http://dx.doi.org/10.1007/s11042-021-11319-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405348/
https://www.ncbi.nlm.nih.gov/pubmed/34483709
http://dx.doi.org/10.1007/s11042-021-11319-8

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