Radiomic Features for Predicting Lymphovascular Invasion in Breast Cancer

Descriptive statistics and group comparisons of radiomic features derived from magnetic resonance imaging. The dataset, created by Hong Li and shared under a CC-BY-4.0 license, is a 21.9 KB Excel file updated in May 2026. It supports research into machine learning models for predicting lymphovascular invasion in invasive breast cancer.

Use Cases

• Training machine learning models based on selected radiomic features mentioned in the description
• Performing statistical group comparisons of radiomic features as described
• Validating imaging biomarkers for lymphovascular invasion prediction in breast cancer

Strengths

• Dataset is openly shared under a permissive CC-BY-4.0 license
• File size is 21.9 KB, making it quick to download and inspect

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

figshare

Freshness

Last updated 2026-05-29 17:35:28