An artificial intelligence algorithm for pulmonary embolism detection on polychromatic computed tomography: performance on virtual monochromatic images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-10048-w.pdf
Reference28 articles.
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3. Zhang Lj Lu, Gm MF, Mcquiston Ad, Jg R, Uj S (2015) Computed tomography of acute pulmonary embolism: state-of-the-art. Eur Radiol 25:2547–2557. https://doi.org/10.1007/S00330-015-3679-2
4. Bruls Rjm, Kwee Rm (2020) Workload for radiologists during on-call hours: dramatic increase in the past 15 years. Insights Imaging 11:121-Z. https://doi.org/10.1186/S13244-020-00925-Z
5. Soffer S, Klang E, Shimon O et al (2021) Deep learning for pulmonary embolism detection on computed tomography pulmonary angiogram: a systematic review and meta-analysis. Sci Rep 11:15814–3. https://doi.org/10.1038/S41598-021-95249-3
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