COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization

COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization

Coronavirus disease 2019 (COVID-19) is a highly contagious disease that has claimed the lives of millions of people worldwide in the last 2 years. Because of the disease's rapid spread, it is critical to diagnose it at an early stage in order to reduce the rate of spread. The images of the lung...

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Bibliographic Details
Main Authors: Ameer Hamza, Muhammad Attique Khan, Shui-Hua Wang, Abdullah Alqahtani, Shtwai Alsubai, Adel Binbusayyis, Hany S. Hussein, Thomas Markus Martinetz, Hammam Alshazly
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Public Health
Subjects:
coronavirus
enhancement
deep learning
LSTM
optimization
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.948205/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.948205/full

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