| Issue |
E3S Web Conf.
Volume 351, 2022
10th International Conference on Innovation, Modern Applied Science & Environmental Studies (ICIES’2022)
|
|
|---|---|---|
| Article Number | 01029 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/e3sconf/202235101029 | |
| 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
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