COVID-19 diagnosis from chest CT scan images using deep learning

COVID-19 diagnosis from chest CT scan images using deep learning

Blog Article

Coronavirus disease 2019 (COVID-19) has caused nearly 600 million individual infections worldwide and more than 6 million deaths were reported.With recent advancements in deep learning techniques, there have been significant efforts to detect and diagnose COVID-19 from computerized tomography (CT) scan medical images using deep learning.A retrospective study to detect COVID-19 using deep learning algorithms is conducted in this paper.It aims to improve training results of pre-trained models using transfer learning and data augmentation The performance of different models was measured and the difference in performance with and hydrangea red sensation without using data augmentation was computed.

Also, a Convolutional Neural Network (CNN) model was proposed and data augmentation was used to achieve high powell and mahoney bloody mary mix accuracy ratios.Finally, designed a website that uses the trained models where doctors can upload CT scan images and get COVID-19 classification (https://covid-e46e8.web.app/) was designed.

The highest results from pre-trained models without using data augmentation were for DenseNet121, which was equal to 81.4%, and the highest accuracy after using the data augmentation was for MobileNet, which was equal to 83.4%.The rate of accuracy improvement percentage after using data augmentation was about 3%.

The conclusion was that data augmentation could improve the accuracy of COVID-19 detection models as it increases the number of samples used to train these models.