RAM-H1200: Multi-Task Hand Radiographs for Rheumatoid Arthritis Analysis

RAM-H1200 is a multi-task full-hand radiograph dataset for rheumatoid arthritis (RA) related image analysis. It is designed to support several clinically relevant computer vision tasks, including segmentation, localization, and scoring. The dataset was authored by TokyoTechMagicYang and was last updated on the Hugging Face platform in April 2026.

Use Cases

• Hand bone structure segmentation based on full-hand radiographs.
• Bone erosion segmentation for rheumatoid arthritis assessment.
• Joint localization for Sharp/van der Heijde (SvdH) scoring.
• Joint-level SvdH bone erosion (BE) scoring.
• Joint-level SvdH joint space narrowing (JSN) scoring.

Strengths

• Designed for multiple clinically relevant computer vision tasks.
• Specifically targets rheumatoid arthritis (RA) image analysis.
• Last updated on 2026-04-25, indicating recent maintenance.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count, file formats, and column-level documentation are unknown.
• License information is not provided, which may restrict usage.

Provenance

Source

TokyoTechMagicYang

Collection Method

Likely contains medical radiographs collected for clinical analysis.

Time Range

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Freshness

Last updated 2026-04-25 13:48:53.

Geography

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