The RSNA Cervical Spine Fracture CT Dataset.

IF 8.1 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Radiology-Artificial Intelligence Pub Date : 2023-08-30 eCollection Date: 2023-09-01 DOI:10.1148/ryai.230034

Hui Ming Lin, Errol Colak, Tyler Richards, Felipe C Kitamura, Luciano M Prevedello, Jason Talbott, Robyn L Ball, Ekim Gumeler, Kristen W Yeom, Mohammad Hamghalam, Amber L Simpson, Jasna Strika, Deniz Bulja, Salita Angkurawaranon, Almudena Pérez-Lara, María Isabel Gómez-Alonso, Johanna Ortiz Jiménez, Jacob J Peoples, Meng Law, Hakan Dogan, Emre Altinmakas, Ayda Youssef, Yasser Mahfouz, Jayashree Kalpathy-Cramer, Adam E Flanders

引用次数: 0

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/.

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RSNA颈椎骨折CT数据集。

该数据集由带有与骨折相关注释的颈椎CT图像组成；它在https://www.kaggle.com/competitions/rsna-2022-cervical-spine-fracture-detection/.

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Radiology-Artificial Intelligence

CiteScore

16.20

自引率

1.00%

发文量

期刊介绍： Radiology: Artificial Intelligence is a bi-monthly publication that focuses on the emerging applications of machine learning and artificial intelligence in the field of imaging across various disciplines. This journal is available online and accepts multiple manuscript types, including Original Research, Technical Developments, Data Resources, Review articles, Editorials, Letters to the Editor and Replies, Special Reports, and AI in Brief.