COVID-19 Diagnostic Imaging Dataset

JeremyKohn's repository provides resources for image-based COVID-19 diagnosis, linking to software, data, and other materials. The project focuses on chest CT scans and X-rays for developing diagnostic tools. It was last updated in February 2022.

Use Cases

• Training a neural network to classify COVID-19 from chest CT scan images.
• Developing a detector model to differentiate COVID-19 from other conditions using chest X-ray features.
• Benchmarking artificial intelligence algorithms for radiology-based coronavirus diagnosis.
• Researching the performance of deep learning models on COVID-19 chest imaging data.

Strengths

• Includes chest CT scans and chest X-rays, two primary imaging modalities for COVID-19.
• Repository contains links to software and other resources for practical application.
• Last update recorded in 2022, indicating a snapshot of active research during the pandemic.

Limitations

• Specific row count, column details, and dataset size are unknown.
• The repository's last update was in 2022, which may limit relevance to current COVID-19 variants.
• Geographic origin and collection methodology for the images are not specified.

Provenance

Source

GitHub repository by author jeremykohn.

Collection Method

Links to software, data, and other resources; exact gathering method unknown.

Freshness

Last updated 2022-02-14.