Breast Cancer Hormone Receptor Scores from AI and Pathologists

A research dataset comparing estrogen and progesterone receptor scores generated by an AI algorithm against assessments by senior and junior pathologists. The data likely contains scores for breast cancer samples to evaluate the algorithm's utility as an independent diagnostic method. The dataset was authored by Kanthilatha Pai and last updated on April 9, 2026.

Use Cases

• Validate AI algorithm scoring accuracy based on hormone receptor scores
• Compare diagnostic consistency between AI and human pathologists
• Assess the utility of AI as an independent diagnostic method for guiding therapy

Strengths

• Dataset is openly licensed under CC-BY-4.0
• File size is 30.6 KB, indicating a focused, manageable dataset

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 2026-04-09 05:17:17