The RSNA Cervical Spine Fracture CT Dataset

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

Radiology: Artificial Intelligence, cilt.5, sa.5, 2023 (Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 5 Sayı: 5
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1148/ryai.230034
  • Dergi Adı: Radiology: Artificial Intelligence
  • Derginin Tarandığı İndeksler: Scopus
  • Anahtar Kelimeler: CT, Diagnosis, Feature Detection, Head/Neck, Informatics, Segmentation, Spine
  • Hacettepe Üniversitesi Adresli: Evet

Özet

This dataset is composed of cervical spine CT images with annotations related to fractures; it is available at https://www.kaggle.com/competitions/rsna-2022-cervical-spine-fracture-detection/. 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.