Covid detection in CT scans

In this project, a program was written in python language to detect COVID-19 in CT Scans of the lungs using prepossessing, feature extraction and machine learning recognition methods. In this project, two methods of recognition were used, linear regression which achieved a miss classification rate of 24.15% (Accuracy = 75.85%), and neural networks which achieved a miss classification rate of 23.51%, the results, implementations, and differences of these two methods will be further discussed in the report.