Cargando…
A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19)
COVID-19 has had a detrimental impact on normal activities, public safety, and the global financial system. To identify the presence of this disease within communities and to commence the management of infected patients early, positive cases should be diagnosed as quickly as possible. New results fr...
Autores principales: | Ahmadian, Sajad, Jalali, Seyed Mohammad Jafar, Islam, Syed Mohammed Shamsul, Khosravi, Abbas, Fazli, Ebrahim, Nahavandi, Saeid |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8558149/ https://www.ncbi.nlm.nih.gov/pubmed/34749098 http://dx.doi.org/10.1016/j.compbiomed.2021.104994 |
Ejemplares similares
-
X-ray image based COVID-19 detection using evolutionary deep learning approach
por: Jalali, Seyed Mohammad Jafar, et al.
Publicado: (2022) -
An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis
por: Jalali, Seyed Mohammad Jafar, et al.
Publicado: (2021) -
Hands-On Neuroevolution with Python
por: Omelianenko, Iaroslav
Publicado: (2019) -
Maximizing adaptive power in neuroevolution
por: Pagliuca, Paolo, et al.
Publicado: (2018) -
Robust optimization through neuroevolution
por: Pagliuca, Paolo, et al.
Publicado: (2019)