Detection of Covid-19 and chest pneumonia based on X-ray images using Deep-Transfer Learning
| Autor: | Nashwan Amin Al-khulaidi, Mohammed Hashem Almourish, Abdulrhman Mohammed Ali |
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| Jazyk: | Arabic<br />English |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Iraqi Journal for Computers and Informatics, Vol 50, Iss 1, Pp 133-143 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2313-190X 2520-4912 |
| DOI: | 10.25195/ijci.v50i1.436 |
| Popis: | Numerous people have died as a result of the coronavirus outbreak in 2019 (COVID-19), which also affected millions of others worldwide. The infection spreads quickly. Therefore, technology that enables quick virus detection will offer healthcare professionals much-needed assistance. This study aims to identify COVID-19 disease from X-ray images of healthy and infected people with pneumonia by using a modified VGG16 model. The proposed model achieved better results than previous studies presented with an accuracy of 99.13%, a recall of 99%, and a precision of 98.70%. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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