Covid-19 Detection from Chest CT Scans Using Transfer Learning Approach

Covid-19, which causes acute respiratory syndrome, is a contagious and fatal disease that has devastating effects on society and human life, and has significantly affected the world economy. The most critical step in the fight against Covid-19 is the rapid diagnosis of infected patients. Chest CT images and RT-PCR diagnostic kits are often used to diagnose the disease. Both mentioned methods face some problems, thus in recent research, deep learning models have been used to diagnose the disease of Covid-19. Deep learning models are fast and accurate models that are considered to diagnose this disease. The proposed method in this article is to use a pre-trained convolutional neural network to diagnose the disease of Covid-19 on the SARS-COV-2 CT scan dataset. This dataset includes 1252 CT scan images belonging to COVID-19 cases and 1230 CT scan images belonging to healthy cases. The pre-trained convolutional neural network InceptionResNetV2 has achieved better results compared to other pre-trained networks, including 97.59% accuracy, 98.78% precision, 96.41% recall and 97.58% F1-Score.