MRI Delta-Radiomics Features for Bladder Cancer Treatment Response Prediction

An Excel spreadsheet containing radiomics features derived from medical imaging. The dataset is published on figshare under a CC-BY-4.0 license by author Benyamin Khajetash and was last updated on 2026-05-15. Its 13.5 KB size suggests a limited scope of data.

Use Cases

• Train a classifier to predict tumor response to neoadjuvant chemotherapy from imaging features (inferred from domain, verify after download)
• Analyze the correlation between delta-radiomics feature changes and clinical outcomes (inferred from domain, verify after download)
• Benchmark feature selection methods for high-dimensional medical data (inferred from domain, verify after download)

Strengths

• Published on figshare under a permissive CC-BY-4.0 license.
• File size is 13.5 KB, indicating a focused and potentially quick-to-process dataset.

Limitations

• Metadata is minimal; actual content requires verification after download.
• 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 2026-05-15 03:52:16