Cargando…
Multi-COVID-Net: Multi-objective optimized network for COVID-19 diagnosis from chest X-ray images
Coronavirus Disease 2019 (COVID-19) had already spread worldwide, and healthcare services have become limited in many countries. Efficient screening of hospitalized individuals is vital in the struggle toward COVID-19 through chest radiography, which is one of the important assessment strategies. Th...
Autores principales: | Goel, Tripti, Murugan, R., Mirjalili, Seyedali, Chakrabartty, Deba Kumar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656152/ https://www.ncbi.nlm.nih.gov/pubmed/34903956 http://dx.doi.org/10.1016/j.asoc.2021.108250 |
Ejemplares similares
-
OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19
por: Goel, Tripti, et al.
Publicado: (2020) -
Automatic Screening of COVID-19 Using an Optimized Generative Adversarial Network
por: Goel, Tripti, et al.
Publicado: (2021) -
WOANet: Whale optimized deep neural network for the classification of COVID-19 from radiography images
por: Murugan, R., et al.
Publicado: (2021) -
Multi-objective optimization using artificial intelligence techniques
por: Mirjalili, Seyedali, et al.
Publicado: (2019) -
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data
por: Loey, Mohamed, et al.
Publicado: (2022)