The RSNA Cervical Spine Fracture CT Dataset

Lin H. M., Colak E., Richards T., Kitamura F. C., Prevedello L. M., Talbott J., ...More

Radiology: Artificial Intelligence, vol.5, no.5, 2023 (Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 5 Issue: 5
  • Publication Date: 2023
  • Doi Number: 10.1148/ryai.230034
  • Journal Name: Radiology: Artificial Intelligence
  • Journal Indexes: Scopus
  • Keywords: CT, Diagnosis, Feature Detection, Head/Neck, Informatics, Segmentation, Spine
  • Hacettepe University Affiliated: Yes


This dataset is composed of cervical spine CT images with annotations related to fractures; it is available at Key Points This is, to our knowledge, the largest publicly available adult cervical spine fracture CT dataset, with contributions from 12 institutions across nine countries and six continents. This dataset includes medical images, segmentations, and expert annotations from a large cohort of radiologists with subspecialist expertise in spine imaging. This dataset was used successfully for the Radiological Society of North America 2022 Cervical Spine Fracture Detection competition hosted on the Kaggle machine learning platform. The dataset is made freely available to the research community for noncommercial use.