ACDC: Cardiac Cine-MRI Scans for Pathology Assessment

A collection of cardiac cine-MRI scans created from real clinical exams acquired at the University Hospital of Dijon. The dataset covers several well-defined pathologies with enough cases to train machine learning methods and assess physiological parameter variations. It was uploaded by msepulvedagodoy and last updated on June 12, 2023.

Use Cases

• Train pathology classification models based on cine-MRI scans mentioned in the description.
• Assess variations in physiological parameters based on cine-MRI data.
• Develop and validate machine learning methods for cardiac imaging analysis using real clinical data.

Strengths

• Data originates from real clinical exams at a university hospital, suggesting clinical relevance.
• The dataset covers several well-defined pathologies, providing a basis for targeted analysis.
• Data was fully anonymized and handled within local ethical committee regulations.

Limitations

• Row count, column definitions, and file formats are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last updated 2023-06-12 17:16:21; freshness should be verified.

Provenance

Source

University Hospital of Dijon, France.

Collection Method

Created from real clinical exams, fully anonymized.

Freshness

Last updated 2023-06-12 17:16:21.

Geography

Dijon, France.