E3S Web Conf.
Volume 351, 202210th International Conference on Innovation, Modern Applied Science & Environmental Studies (ICIES’2022)
|Number of page(s)||5|
|Published online||24 May 2022|
A Deep Learning Model for Coronavirus 2019 Pneumonia Screening
1 Laboratory of Engineering Sciences (LSI), Polydisciplinary Faculty of Taza (FPT), Sidi Mohamed Ben Abdallah University, Fez, Morocco
2 Laboratory of Artificial Intelligence, Data Sciences and Emergent Systems (LIASSE), National School of Engineers (ENSA), Sidi Mohamed Ben Abdallah University, Fez, Morocco
This paper proposes an automatic COVID-19 detection model using chest X-ray images. The proposed model is developed to give accurate diagnostics for multiclass classification (COVID vs. PNEUMONIA vs. NORMAL). Our model produced a classification accuracy of 96%. Evaluation has been done on publicly available databases containing covid19, pneumonia and normal X-ray images. The proposed approach uses the VGG-16 model with pre-trained weights in the initialization step.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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