Detection of COVID-19 Based on Chest Medical Imaging and Artificial Intelligence Techniques

The emergence of COVID-19 disease in the world has moved wheel scientific research order to detect it best method, and fastest these methods is use Artificial Intelligence (AI) techniques help medical professionals COVID-19. proposed topic aim develop algorithm based on combination between imageprocessing with artificial intelligence diagnose consists five stages classify from Computer Tomography (CT) images. These include; first collect data hospitals as real Kagglewebsite for patients healthy people, then stage before removing noise converting RGB grayscale, we improve image, segmentation formalities, other a used extract important characteristics, last classification images CT scan using Feed Forward Back Propagation Network (FFBPN) Support Vector Machine (SVM )and compare result them see if person infected or healthy. This study was implemented MATLAB software. results showed that cancellation technology anisotropic filtering gave results. As optimization technology, only brightness been increased. At area ​​lung injection transplant are detection tissues. FFBPN detecting classifying well determining whether not. methodology accurate rapid lung. contribution this paper staff without human intervention.