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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Veröffentlicht in:Sci Rep
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Publishing Group UK 2021
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Article
Online Zugang: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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