Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients

COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus is highly desired. Convolutional neural networks (CNNs) have shown outstanding classification performance on image datasets. To date, it appears that COVID computer-aided diagnosis systems based on CNNs and clin...

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Detalles Bibliográficos
Autores principales: Khozeimeh, Fahime, Sharifrazi, Danial, Izadi, Navid Hoseini, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Alizadehsani, Roohallah, Gorriz, Juan M., Hussain, Sadiq, Sani, Zahra Alizadeh, Moosaei, Hossein, Khosravi, Abbas, Nahavandi, Saeid, Islam, Sheikh Mohammed Shariful
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319175/
https://www.ncbi.nlm.nih.gov/pubmed/34321491
http://dx.doi.org/10.1038/s41598-021-93543-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319175/
https://www.ncbi.nlm.nih.gov/pubmed/34321491
http://dx.doi.org/10.1038/s41598-021-93543-8

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