The RSNA cervical spine fracture CT dataset

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Doğan, Hakan
Altınmakas, Emre

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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

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Radiological Society of North America Inc.
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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.

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Computer science, artificial intelligence, Radiology, nuclear medicine and medical imaging

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