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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Autores principales: | , , , , , , , , , , , , |
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Formato: | article |
Lenguaje: | EN |
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Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/9ceed63c3b1d4d089aecf42d5012cfba |
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