Efficient multimodal deep-learning-based COVID-19 diagnostic system for noisy and corrupted images

Efficient multimodal deep-learning-based COVID-19 diagnostic system for noisy and corrupted images

Introduction: In humanity’s ongoing fight against its common enemy of COVID-19, researchers have been relentless in finding efficient technologies to support mitigation, diagnosis, management, contact tracing, and ultimately vaccination. Objectives: Engineers and computer scientists have deployed th...

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Bibliographic Details
Main Authors: Mohamed Hammad, Lo'ai Tawalbeh, Abdullah M. Iliyasu, Ahmed Sedik, Fathi E. Abd El-Samie, Monagi H. Alkinani, Ahmed A. Abd El-Latif
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:Journal of King Saud University: Science
Subjects:
Artificial intelligence
Deep learning
COVID-19
Corona virus
Chest X-ray
Image processing
Online Access:http://www.sciencedirect.com/science/article/pii/S1018364722000799

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http://www.sciencedirect.com/science/article/pii/S1018364722000799

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