Efficient Framework for Detection of COVID-19 Omicron and Delta Variants Based on Two Intelligent Phases of CNN Models.

Mustafa Ghaderzadeh Mohammad Amir Eshraghi Farkhondeh Asadi Azamossadat Hosseini Ramezan Jafari Soroush Sadeghi Hassan Abolghasemi

Published in: Computational and mathematical methods in medicine (2022)

Since the proposed framework was based on two deep learning models that used two radiology modalities, it was able to significantly assist radiologists in detecting COVID-19 in the early stages. The use of models with this feature can be considered as a powerful and reliable tool, compared to the previous models used in the past pandemics.

Keyphrases

deep learning
coronavirus disease
sars cov
artificial intelligence
machine learning
dna methylation