Eyes on the prize: harnessing computer vision for automated detection of traumatic rib and clavicle fractures in chest radiographs.
作者信息
Villarreal Joshua Aaron, Forrester Joseph D
机构信息
Department of Surgery, Stanford University Department of Medicine, Stanford, California, USA.
出版信息
Trauma Surg Acute Care Open. 2024 Apr 12;9(1):e001455. doi: 10.1136/tsaco-2024-001455. eCollection 2024.
Abstract
摘要
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本文引用的文献
1
Development and evaluation of a deep learning-based model for simultaneous detection and localization of rib and clavicle fractures in trauma patients' chest radiographs.
Trauma Surg Acute Care Open. 2024 Apr 12;9(1):e001300. doi: 10.1136/tsaco-2023-001300. eCollection 2024.
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Deep learning for acute rib fracture detection in CT data: a systematic review and meta-analysis.
Br J Radiol. 2024 Feb 28;97(1155):535-543. doi: 10.1093/bjr/tqae014.
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Evaluating the impact of timing to rib fixation in patients with traumatic brain injury: A nationwide analysis.
J Trauma Acute Care Surg. 2023 Dec 1;95(6):846-854. doi: 10.1097/TA.0000000000004100. Epub 2023 Jun 29.
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FasterRib: A deep learning algorithm to automate identification and characterization of rib fractures on chest computed tomography scans.
J Trauma Acute Care Surg. 2023 Aug 1;95(2):181-185. doi: 10.1097/TA.0000000000003913. Epub 2023 Mar 6.
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Diagnostic accuracy of a commercially available deep-learning algorithm in supine chest radiographs following trauma.
Br J Radiol. 2022 Jun 1;95(1134):20210979. doi: 10.1259/bjr.20210979. Epub 2022 Mar 24.
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Radiology artificial intelligence, a systematic evaluation of methods (RAISE): a systematic review protocol.
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Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet.
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