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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Pubblicato in:Sci Rep
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2021
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8319175/
https://ncbi.nlm.nih.gov/pubmed/34321491
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-93543-8
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