Watch Your Back! How Deep Learning Is Cracking the Real World of CT for Cervical Spine Fractures.
作者信息
Levi Riccardo, Politi Letterio S
机构信息
From the Department of Neuroradiology, IRCCS-Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy (R.L., L.S.P.); and Department of Biomedical Sciences, Humanitas University, Milan, Italy (L.S.P.).
出版信息
Radiol Artif Intell. 2024 Nov;6(6):e240604. doi: 10.1148/ryai.240604.
Abstract
摘要
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本文引用的文献
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Assessing the Performance of Models from the 2022 RSNA Cervical Spine Fracture Detection Competition at a Level I Trauma Center.评估一级创伤中心 2022 年 RSNA 颈椎骨折检测竞赛模型的性能。
Radiol Artif Intell. 2024 Nov;6(6):e230550. doi: 10.1148/ryai.230550.
2
Diagnostic accuracy of an artificial intelligence algorithm versus radiologists for fracture detection on cervical spine CT.人工智能算法与放射科医生在颈椎 CT 骨折检测中的诊断准确性比较。
Eur Radiol. 2024 Aug;34(8):5041-5048. doi: 10.1007/s00330-023-10559-6. Epub 2024 Jan 11.
3
Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge.RSNA 2022 颈椎骨折检测挑战赛获奖算法的性能。
Radiol Artif Intell. 2024 Jan;6(1):e230256. doi: 10.1148/ryai.230256.
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The RSNA Cervical Spine Fracture CT Dataset.RSNA颈椎骨折CT数据集。
Radiol Artif Intell. 2023 Aug 30;5(5):e230034. doi: 10.1148/ryai.230034. eCollection 2023 Sep.
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Classification of Cervical Spine Fracture and Dislocation Using Refined Pre-Trained Deep Model and Saliency Map.使用精细预训练深度模型和显著性图对颈椎骨折和脱位进行分类
Diagnostics (Basel). 2023 Mar 28;13(7):1273. doi: 10.3390/diagnostics13071273.
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Traumatic cervical spine fracture patterns on CT: a retrospective analysis at a level 1 trauma center.颈椎创伤性骨折模式的 CT 分析：1 级创伤中心的回顾性分析。
Emerg Radiol. 2021 Oct;28(5):965-976. doi: 10.1007/s10140-021-01952-z. Epub 2021 Jun 11.
7
Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Cervical Spine Fractures.深度学习算法检测颈椎骨折的诊断准确性和失效模式分析。
AJNR Am J Neuroradiol. 2021 Aug;42(8):1550-1556. doi: 10.3174/ajnr.A7179. Epub 2021 Jun 11.
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