Detection of Covid-19 and chest pneumonia based on X-ray images using Deep-Transfer Learning

Authors

  • Nashwan Amin Al-khulaidi Taiz University
  • Mohammed Hashem Almourish Taiz University
  • Abdulrhman Mohammed Ali Taiz University

DOI:

https://doi.org/10.25195/ijci.v50i1.436

Keywords:

COVID-19, Deep-Transfer Learning, X-ray images

Abstract

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%.

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Author Biographies

Nashwan Amin Al-khulaidi , Taiz University

Faculty of Engineering and Information Technology

Mohammed Hashem Almourish, Taiz University

Faculty of Engineering and Information Technology

Abdulrhman Mohammed Ali , Taiz University

Faculty of Engineering and Information Technology

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Published

2024-06-01