Diagnostic Performance of Generated vs Real Delayed-Phase Imaging

5.5 KB Excel file compares diagnostic performance for detecting abnormalities. The dataset, authored by Changhwan Sung and last updated in May 2026, contains consensus interpretations from an independent validation set. It likely contains metrics evaluating generated versus real delayed-phase medical imaging.

Use Cases

• Validate AI-generated medical images based on diagnostic performance metrics.
• Benchmark consensus interpretation methods for radiological abnormalities.
• Compare the efficacy of generated versus real delayed-phase imaging in clinical validation.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, indicating a focused and manageable scope.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Likely contains consensus interpretations from a validation study.

Freshness

Last updated 2026-05-14 17:50:25; freshness should be verified.