The RSNA Cervical Spine Fracture CT Dataset.

Radiol Artif Intell

From the Department of Medical Imaging, St Michael's Hospital, Unity Health Toronto, 30 Bond St, Toronto, ON, Canada M5B 1W8 (H.M.L., E.C.); Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (E.C.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (T.R.); Dasa, Universidade Federal de São Paulo (Unifesp), São Paulo, Brazil (F.C.K.); Department of Radiology, The Ohio State University, Columbus, Ohio (L.M.P.); Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, Calif (J.T.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Radiology, Hacettepe University, Ankara, Turkey (E.G.); Standard School of Medicine, Stanford University, Stanford, Calif (K.W.Y.); School of Computing (M.H., A.L.S., J.J.P.), Department of Biomedical and Molecular Sciences (A.L.S.), and Department of Diagnostic Radiology (J.O.J.), Queen's University, Kingston, Ontario, Canada; Department of Biomedical Engineering, Qazvin Branch, Islamic Azad University, Qazin, Iran (M.H.); Department of Radiology, Cantonal Hospital Zenica, Zenica, Bosnia and Herzegovina (J.S.); Clinic of Radiology, Clinical Center University of Sarajevo, Sarajevo, Bosnia and Herzegovina (D.B.); Department of Radiology, Chiang Mai University, Chiang Mai, Thailand (S.A.); Department of Radiology, Hospital Regional Universitario de Málaga, Málaga, Spain (A.P.L.); Department of Radiology, Hospital Quirónsalud Málaga, Málaga, Spain (M.I.G.A.); Department of Radiology and Nuclear Medicine, Alfred Health, Monash University, Melbourne, Australia (M.L.); Department of Radiology, Koç University School of Medicine, Istanbul, Turkey (H.D., E.A.); Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (E.A.); Department of Radiology, National Cancer Institute, Cairo University, Cairo, Egypt (A.Y.); Department of Radiology, Sultan Qaboos University Hospital, Muscat, Oman (Y.M.); Department of Ophthalmology, University of Colorado Anschutz Medical Campus, Aurora, Colo (J.K.C.); Department of Radiology and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Mass (J.K.C.); and Department of Radiology, Division of Neuroradiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.).

Published: September 2023

The dataset contains cervical spine CT images specifically focused on detecting fractures.
It includes annotations that highlight the presence of fractures in the images.
The dataset can be accessed through Kaggle's competition page for cervical spine fracture detection.

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/.

Download full-text PDF	Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546361	PMC
http://dx.doi.org/10.1148/ryai.230034	DOI Listing

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