English

Emory Knee Radiograph (MRKR) Dataset

Computer Vision and Pattern Recognition 2024-11-05 v1 Artificial Intelligence

Abstract

The Emory Knee Radiograph (MRKR) dataset is a large, demographically diverse collection of 503,261 knee radiographs from 83,011 patients, 40% of which are African American. This dataset provides imaging data in DICOM format along with detailed clinical information, including patient-reported pain scores, diagnostic codes, and procedural codes, which are not commonly available in similar datasets. The MRKR dataset also features imaging metadata such as image laterality, view type, and presence of hardware, enhancing its value for research and model development. MRKR addresses significant gaps in existing datasets by offering a more representative sample for studying osteoarthritis and related outcomes, particularly among minority populations, thereby providing a valuable resource for clinicians and researchers.

Cite

@article{arxiv.2411.00866,
  title  = {Emory Knee Radiograph (MRKR) Dataset},
  author = {Brandon Price and Jason Adleberg and Kaesha Thomas and Zach Zaiman and Aawez Mansuri and Beatrice Brown-Mulry and Chima Okecheukwu and Judy Gichoya and Hari Trivedi},
  journal= {arXiv preprint arXiv:2411.00866},
  year   = {2024}
}

Comments

16 pages

R2 v1 2026-06-28T19:44:45.262Z