Medical Images Classification Using Convolutional Neural Network
The World Health Organization has announced the most recent coronavirus-related disease, Covid-19 (Coronavirus Disease-2019), a pandemic. In addition, the worldwide lockdown implementation has made the whole globe to have millions of people dead. Added to the fact of being extremely contagious, this virus has a high mortality rate. In other words, it puts pressure on the healthcare system because of infecting many individuals. Therefore, identifying Covid-19 has become critical. In fact, this study aims to apply X-ray as well as Computed Tomography (CT) augmented datasets in order to realize a deep learning technique based on the Convolutional Neural Network (CNN) to immediately detect and diagnose Covid-19. With an efficient loss function, we have typically developed our deep learning model performance. Furthermore, the proposed system carried out high Covid-19 detection performance with a significant accuracy.
Authors
- Hana Ben Fredj (ORCID: https://orcid.org/0000-0003-2667-6132)
- Chokri Souani (ORCID: https://orcid.org/0000-0002-8987-3582)
- Yosra Ben Fadhel (ORCID: https://orcid.org/0000-0003-3346-4250)
Institutions
- Tunis University (TN)
- Tunis El Manar University (TN)
- University of Sousse (TN)
Publication Details
- Published
- 2025-02-17
- DOI
- https://doi.org/10.1109/ssd64182.2025.10990011
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00