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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Sci Rep
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2021
Témata:
Article
On-line přístup: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
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky