Browsing by Author "Hichem, Laboukhi"

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    Artificial neural network approach to detect COVID-19 disease from X-ray images
    (Mohamed Boudiaf University of M'sila, 2023) Hichem, Laboukhi; Abdelhakim, Benamara; Sayad, Lamri: Rapporteur
    This research employs artificial neural networks, specifically deep learning techniques, to detect COVID-19 from chest X-ray images. The study created and assessed a neural network model using a dataset of medical images from both COVID-19 infected and non-infected individuals. The results demonstrated the model's effectiveness in accurately distinguishing between infected and non-infected cases, showcasing its potential as a valuable diagnostic tool for COVID-19. The study emphasizes the necessity for ongoing research, expanding datasets, and refining neural network models to enhance accuracy. It underscores the significant potential of artificial intelligence and deep learning in disease diagnosis, promoting continuous collaboration between researchers and healthcare institutions to address global health challenges.