MRI Delta-Radiomics for Bladder Cancer Treatment Response Prediction

12.4 KB of radiomic feature data in an XLSX file, published on figshare by Benyamin Khajetash. The dataset likely contains delta-radiomics features extracted from MRI scans of muscle-invasive bladder cancer patients undergoing neoadjuvant chemotherapy. The file was last updated on 2026-05-15.

Use Cases

• Training a classifier to predict tumor response from radiomic feature changes (inferred from domain, verify after download)
• Developing a prognostic model for personalized neoadjuvant chemotherapy planning (inferred from domain, verify after download)
• Benchmarking feature selection methods for high-dimensional medical imaging data (inferred from domain, verify after download)

Strengths

• Published on figshare under the open CC-BY-4.0 license.
• File size is 12.4 KB, indicating a focused and potentially manageable feature set.

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 03:52:17; freshness should be verified.