A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset.

Omar M Elzeki Mohamed Abd Elfattah Hanaa Salem Aboul Ella Hassanein Mahmoud Y Shams

Published in: PeerJ. Computer science (2021)

A novel image fusion algorithm using DL for an imbalanced COVID-19 dataset is the crucial contribution of this work. Extensive results of the experiment display that the proposed algorithm NSCT + CNN_VGG19 outperforms competitive image fusion algorithms.

Keyphrases

deep learning
convolutional neural network
coronavirus disease
sars cov
machine learning
artificial intelligence
working memory