Advanced Meta-Heuristics, Convolutional Neural Networks, and Feature Selectors for Efficient COVID-19 X-Ray Chest Image Classification

Advanced Meta-Heuristics, Convolutional Neural Networks, and Feature Selectors for Efficient COVID-19 X-Ray Chest Image Classification

The chest X-ray is considered a significant clinical utility for basic examination and diagnosis. The human lung area can be affected by various infections, such as bacteria and viruses, leading to pneumonia. Efficient and reliable classification method facilities the diagnosis of such infections. D...

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Bibliographic Details
Main Authors: El-Sayed M. El-Kenawy, Seyedali Mirjalili, Abdelhameed Ibrahim, Mohammed Alrahmawy, M. El-Said, Rokaia M. Zaki, Marwa Metwally Eid
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Chest X-ray
transfer learning
convolutional neural network
squirrel search optimization
multilayer perceptron
optimization algorithm
Online Access:https://ieeexplore.ieee.org/document/9360538/

Internet

https://ieeexplore.ieee.org/document/9360538/

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