COVID-19 Lung CT Scans

This is a large public COVID-19 (SARS-CoV-2) lung CT scan dataset, containing total of 8,439 CT scans which consists of 7,495 positive cases (COVID-19 infection) and 944 negative ones (normal and non-COVID-19). Data is available as 512×512px PNG images and have been collected from real patients in radiology centers of teaching hospitals of Tehran, Iran. The aim of this dataset is to encourage the research and development of effective and innovative methods such as deep CNNs which are able to identify if a person is infected by COVID-19 through the analysis of his/her CT scans. As a baseline for this dataset we used a CNN-based approach inspired by transfer learning which we could achieve an accuracy of 99.61% which is very promising.