COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning

The introduced COVID-19 CT scan dataset, referred to as the COVID-CT-MD, is applicable in Machine Learning (ML) and deep learning studies of COVID-19 classification. In particular, COVID-CT-MD dataset consists of 169 confirmed positive COVID-19 cases (gathered from 2020/02/23 to 2020/04/21), 76 normal cases (gathered from 2019/01/21 to 2020/05/29), and 60 Community Acquired Pneumonia (CAP) cases (gathered from 2018/04/03 to 2019/11/24). A subset of 54 COVID-19, and 25 CAP cases were analyzed by the radiologists to identify and label slices with evidence of infection. In addition to the slice-level labels, the detailed distribution of infection in each lobe of the lung is provided by the radiologists. Finally, the CT scans are accompanied by the participant's clinical and demographic data along with the diagnostic labels assigned by three radiologists to facilitate inter-observer reliability studies.