Publication: The RSNA cervical spine fracture CT dataset
Loading...
Program
KU-Authors
Organization Authors
Co-Authors
Lin, Hui Ming
Colak, Errol
Richards, Tyler
Kitamura, Felipe C.
Prevedello, Luciano M.
Talbott, Jason
Ball, Robyn L.
Gumeler, Ekim
Yeom, Kristen W.
Hamghalam, Mohammad
Date
Language
Type
Embargo Status
Journal Title
Journal ISSN
Volume Title
Alternative Title
Abstract
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.
Source
Publisher
Radiological Society of North America Inc.
Citation
item.page.haspartof
Source
Radiology: Artificial Intelligence
item.page.ispartofseries
item.page.edition
DOI
10.1148/ryai.230034
