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The RSNA cervical spine fracture CT dataset

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SCHOOL OF MEDICINE
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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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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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Radiological Society of North America Inc.

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Radiology: Artificial Intelligence

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DOI

10.1148/ryai.230034

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03 - Good Health and Well-being
Over the last 15 years, the number of childhood deaths has been cut in half. This proves that it is possible to win the fight against almost every disease. Still, we are spending an astonishing amount of money and resources on treating illnesses that are surprisingly easy to prevent. The new goal for worldwide Good Health promotes healthy lifestyles, preventive measures and modern, efficient healthcare for everyone.
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