Breast Tumor Bone Metastasis Paired Radiograph and CT Images

BoneMet is a large-scale, high-resolution medical imaging dataset containing paired radiograph and CT scans for breast tumor bone metastasis diagnosis and prognosis. It is the first publicly available dataset of its kind and was accepted for presentation at ICLR 2025.

Use Cases

• Train computer vision models on paired radiograph and CT images for automated bone metastasis detection.
• Develop multi-modal diagnostic algorithms using high-resolution medical images for breast cancer prognosis.
• Benchmark segmentation or classification models on a large-scale dataset focused on oncology and bone metastasis.

Strengths

• First publicly available large-scale dataset for breast tumor bone metastasis diagnosis.
• Contains high-resolution paired radiograph and CT scans, providing a multi-modal resource.
• Dataset was accepted for presentation at the ICLR 2025 conference.

Limitations

• The specific number of patient records, images, or rows is not provided in the input.
• File formats, column structure, and sample data are unknown, complicating initial assessment.
• Geographic origin and temporal coverage of the medical data are unspecified.

Provenance

Source

BoneMet organization via Hugging Face.

Collection Method

Dataset files are provided as a single zip archive for efficient uploading.

Freshness

Last updated on 2025-09-23.