Supplementary Data for Endometrial Cancer PET/CT Tumor Segmentation Methods

17.6 KB of supplementary data published on figshare under a CC-BY-4.0 license. The data likely contains quantitative results or parameters related to optimizing [¹⁸F]FDG PET/CT segmentation methods for endometrial cancer. It was authored by Kristine Eldevik Fasmer and last updated on 2026-06-03.

Use Cases

• Benchmarking segmentation algorithm performance on endometrial cancer PET/CT data (inferred from domain, verify after download)
• Training or validating metabolic tumor volume quantification models (inferred from domain, verify after download)
• Reproducing methodological comparisons for tumor segmentation in clinical research (inferred from domain, verify after download)

Strengths

• Published on figshare with a permissive CC-BY-4.0 license.
• File size is 17.6 KB, indicating a focused and manageable download.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count and column definitions are unknown, limiting suitability assessment.
• The data is supplementary to a specific study, implying a limited scope.

Provenance

Source

figshare

Freshness

Last updated 2026-06-03 04:52:27.