bioinformatics biology computer vision csv health imaging labeled life sciences machine learning medical image computing medical imaging radiology x-ray
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. Acknowledgments - We would like to thank MD.ai for assistance with image de-identification.
New data is added as soon as it is available.
CC-BY-SA
https://github.com/Emory-HITI/MRKR
See all datasets managed by Health Innovation and Translational Informatics Lab at Emory University (hitilab.com).
bprice9@emory.edu, bpri0002@radiology.ufl.edu, hari.trivedi@emory.edu
Emory Knee Radiograph (MRKR) dataset was accessed on DATE
from https://registry.opendata.aws/mrkr.
arn:aws:s3:::emory-mrkr-dataset
us-west-2
aws s3 ls --no-sign-request s3://emory-mrkr-dataset/