COVID19-CT-Dataset: 1000+ Patient Chest CT Scans with COVID-19 Diagnosis

COVID19-CT-Dataset is an open-access repository of chest CT images from over 1,000 patients with confirmed COVID-19 lung infections. The dataset was created by Sayyed Mostafa Mostafavi and is hosted on Papers with Code. The specific collection date range and geographic origin of the images are not detailed in the provided metadata.

Use Cases

• Train image classification models to identify COVID-19 lung patterns based on CT scans.
• Develop segmentation models to quantify lung infection volume based on CT imagery.
• Benchmark diagnostic AI algorithms against a repository of confirmed COVID-19 cases.
• Conduct medical image analysis research on the radiological presentation of COVID-19.

Strengths

• Contains over 1,000 patient cases, providing a substantial sample size.
• Focuses on a specific, clinically confirmed condition (COVID-19 lung infection).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for individual images is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Sayyed Mostafa Mostafavi

Collection Method

Collection method is not specified in the provided description.