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

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

Abstract 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...

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Bibliographic Details
Main Authors: Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Juan M. Gorriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/9ceed63c3b1d4d089aecf42d5012cfba
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