Prediction Performance of Radiomic Signatures for Breast Cancer LVI

A 5.5 KB Excel file containing prediction performance metrics for various radiomic signatures. The dataset, authored by Hong Li and last updated on 2026-05-29, likely contains tabular results evaluating models for predicting lymphovascular invasion in invasive breast cancer. The specific time range and geographic scope of the underlying data are not detailed.

Use Cases

• Benchmarking radiomic model performance for LVI prediction based on the described evaluation metrics.
• Comparing the efficacy of different radiomic signatures for a specific clinical outcome in breast cancer.
• Validating predictive models for lymphovascular invasion status in a test set context.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and modification.
• Has a specific update timestamp (2026-05-29 17:35:36), providing a freshness indicator.

Limitations

• Row count is unknown, which may limit suitability assessment for model training or validation.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality and completeness require manual inspection.

Provenance

Source

figshare, author Hong Li

Freshness

Last updated 2026-05-29 17:35:36.