A pilot study of deep learning-based CT volumetry for traumatic hemothorax-Reference-Cited by-同舟云学术

A pilot study of deep learning-based CT volumetry for traumatic hemothorax

Published:2022-08-16 Issue:6 Volume:29 Page:995-1002
ISSN:1070-3004
Container-title:Emergency Radiology
language:en
Short-container-title:Emerg Radiol

Author:

Dreizin David^ORCID,Nixon Bryan,Hu Jiazhen,Albert Benjamin,Yan Chang,Yang Gary,Chen Haomin,Liang Yuanyuan,Kim Nahye,Jeudy Jean,Li Guang,Smith Elana B.,Unberath Mathias

Funder

National Institute of Biomedical Imaging and Bioengineering

Accelerated Translational Incubator Pilot award, University of Maryland School of Medicine

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Emergency Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10140-022-02087-5.pdf

Reference43 articles.

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2. Sangster GP, González-Beicos A, Carbo AI, Heldmann MG, Ibrahim H, Carrascosa P, Nazar M, D’Agostino HB (2007) Blunt traumatic injuries of the lung parenchyma, pleura, thoracic wall, and intrathoracic airways: multidetector computer tomography imaging findings. Emerg Radiol 14(5):297–310

3. Mahmood I, Abdelrahman H, Al-Hassani A, Nabir S, Sebastian M, Maull K (2011) Clinical management of occult hemothorax: a prospective study of 81 patients. Am J Surg 201(6):766–769

4. Dreizin D, Munera F (2012) Blunt polytrauma: evaluation with 64-section whole-body CT angiography. Radiographics 32(3):609–631

5. Bilello JF, Davis JW, Lemaster DM (2005) Occult traumatic hemothorax: when can sleeping dogs lie? Am J Surg 190(6):844–848

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