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 read more difference in performance with and without using data augmentation was computed.Also, a Convolutional Neural Network (CNN) model was proposed and data augmentation was used to achieve high 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 here 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.