Clot ratio, new clot burden score with deep learning, correlates with the risk stratification of patients with acute pulmonary embolism-Reference-Cited by-同舟云学术

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Clot ratio, new clot burden score with deep learning, correlates with the risk stratification of patients with acute pulmonary embolism

Published:2024-01 Issue:1 Volume:14 Page:86-97
ISSN:2223-4292
Container-title:Quantitative Imaging in Medicine and Surgery
language:
Short-container-title:Quant Imaging Med Surg

Author:

Xi Linfeng,Xu Feiya,Kang Han,Deng Mei,Xu Wenqing,Wang Dingyi,Zhang Yunxia,Xie Wanmu,Zhang Rongguo,Liu Min,Zhai Zhenguo,Wang Chen

Publisher

AME Publishing Company

Subject

Radiology, Nuclear Medicine and imaging

Link

https://qims.amegroups.com/article/download/119158/pdf

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. nnU-Net-based deep-learning for pulmonary embolism: detection, clot volume quantification, and severity correlation in the RSPECT dataset;European Journal of Radiology;2024-08

2. Machine learning in cancer-associated thrombosis: hype or hope in untangling the clot;Bleeding, Thrombosis and Vascular Biology;2024-05-16

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