Abstract
In 2019, the Covid-19 pandemic has spread across the globe and causing significant disruptions to daily life. Those who have tested positive for Covid-19 may experience long-term respiratory problems as the virus can damage the lungs. Specifically, patients who have recovered from Covid-19 may develop white spots on their lungs. This can be difficult to distinguish from normal lung tissue. Consequently, researchers have conducted extensive studies on image classification of Covid-19 chest x-rays, which has become a popular topic of investigation over the past two years. In this research, four datasets were utilized for image classification including COVID-19 Radiography, Chest X-ray, COVID-19, and CoronaHack datasets. All these datasets were sourced from Kaggle. The pre-trained ResNet152 model was used in conjunction with a transfer learning technique. Results indicated that the pre-trained ResNet152 with early stopping provided the highest accuracy among the techniques tested. In this research, the COVID-19 Radiography dataset achieved an accuracy of 95.61%, while the Chest X-ray dataset achieved an accuracy of 97.59%. CoronaHack dataset and COVID-19 X-ray dataset achieved accuracies of 93.59% and 100%, respectively.
Original language | English |
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Title of host publication | 11th International Conference on Information and Communication Technology, ICoICT 2023 |
Editors | Lee-Ying Chong, Tee Connie, Dawam Dwi Jatmiko Suwawi, Joon Liang Tan |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 271-276 |
Number of pages | 6 |
ISBN (Electronic) | 9798350321982 |
ISBN (Print) | 9798350333039 |
DOIs | |
Publication status | Published - 2023 |
Externally published | Yes |
Event | International Conference on Information and Communication Technology 2023 - Melaka, Malaysia Duration: 23 Aug 2023 → 24 Aug 2023 Conference number: 11th https://ieeexplore.ieee.org/xpl/conhome/10262402/proceeding (Proceedings) https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwiKrtbNp-GEAxUbs1YBHZlDAVkQFnoECA8QAQ&url=https%3A%2F%2Fwww.icoict.org%2F2023-icoict%2F&usg=AOvVaw2TRUvwZYzGEHUrk65UNNeI&opi=89978449 (Website) |
Conference
Conference | International Conference on Information and Communication Technology 2023 |
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Abbreviated title | ICoICT 2023 |
Country/Territory | Malaysia |
City | Melaka |
Period | 23/08/23 → 24/08/23 |
Internet address |
Keywords
- Chest Xray
- Covid-19
- ResNet152
- transfer learning